WE ARE AI & MACHINE LEARNING RECRUITMENT SPECIALISTS
What makes Xcede's AI Recruiting offering unique?
For over a decade, Xcede has been at the forefront of AI recruitment, specialising in Machine Learning (ML), NLP, Computer Vision and various other subsets that fall under the Artificial Intelligence umbrella. Being front runners in this sector, we have a deep understanding and an extensive network within this space. Our expertise and connections are evident in our affiliation with industry leaders, including hosting guest speakers from prominent AI companies at our networking events. It is our experience that has provided us with a vast network of talented candidates and strong relationships with pioneering companies that set us apart from other recruitment companies working in this area.
AI & MACHINE LEARNING SPECIALISMS
LATEST AI & MACHINE LEARNING JOBS
MLOps Engineer
(London - visit the office x3 days a week)
Xcede are delighted to be working with a very exciting scale-up Tech Product organisation. With a fledgling Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer / ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future, we'll need a capable and experienced engineer who is happy making independent technical decisions.
Responsibilities
- Deploy, optimise and maintain the machine learning models at the core of the company's product offering.
- Focus on creating state of the art recommendation system and graph network technology that is scalable and stable.
- Build APIs for the product.
- Drive smart and necessary DevOps decision within the ML function - MLOps.
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or platform.
- Some experience of deploying recommendation engines / recommender systems / RecSys
- Strong cloud experience - ideally AWS / Amazon Web Services.
- Usage of LLMs in a commercial environment is a bonus.
- Docker & Kubernetes experience
- Bonus experience - pathfinder algorithms, graph network experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
MACHINE LEARNING ENGINEERING TEAM LEAD
In particular, we're currently on the lookout for an experienced Machine Learning Engineering Team Lead - someone who combines the best of Platform focused software engineering, management skills, and machine learning knowledge.
The main aim of this unit is to facilitate and enable the ML unit's key projects. These can range from customer personalisation, recommendation engines, pricing algorithms, and A/B tests.
Responsibilities
- clear technical and strategic leadership for the ML Engineering unit.
- the timelines and roadmap to enable Product execution.
- with Machine Learning & Data Science leadership to think of new useful ideas.
- into 'hands-on' elements of the role and provide engineering standards and best practice for the unit.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience acting as a cross functional leader for both software and ML engineers.
- An ability to write production quality Python code.
- An understanding of the end to end Machine Learning lifecycle.
- Spark & Spark Streaming experience
- Azure & DataBricks experience.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
MACHINE LEARNING ENGINEERING TEAM LEAD
In particular, we're currently on the lookout for an experienced Machine Learning Engineering Team Lead - someone who combines the best of Platform focused software engineering, management skills, and machine learning knowledge.
The main aim of this unit is to facilitate and enable the ML unit's key projects. These can range from customer personalisation, recommendation engines, pricing algorithms, and A/B tests.
Responsibilities
- clear technical and strategic leadership for the ML Engineering unit.
- the timelines and roadmap to enable Product execution.
- with Machine Learning & Data Science leadership to think of new useful ideas.
- into 'hands-on' elements of the role and provide engineering standards and best practice for the unit.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience acting as a cross functional leader for both software and ML engineers.
- An ability to write production quality Python code.
- An understanding of the end to end Machine Learning lifecycle.
- Spark & Spark Streaming experience
- Azure & DataBricks experience.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
DATA SCIENTIST
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
SENIOR DATA SCIENTIST
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
PRINCIPAL DATA SCIENTIST
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
PRINCIPAL DATA SCIENTIST
(Athens - visit the office x3 days a week)
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
SENIOR DATA SCIENTIST
(Athens - visit the office x3 days a week)
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
DATA SCIENTIST
(Athens - visit the office x3 days a week)
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
We are looking for a Senior Product Designer to be the first member of a Design System team, dedicated to building the enterprise wide design system. You will work in a hyper-growth Series D company with well over $500M in funding secured that are maturing their product design function in New York.
This is a company that is at the cutting edge of AI technology and provide a SaaS product that is enabling AI Search & Insights capabilities to the Fortune 1000 community. With a significant product suite already active, this role is to bring together prior adhoc design frameworks, pattern libraries & foundational elements into a scalable, coherant design system that is used across the business.
We are looking for someone that has worked in a B2B SaaS environment, producing modern high-fidelity product designs that emphasize user empathy in interactive design. You should have significant experience in building a complete design system from early phase that has been scaled across a SaaS product enterprise and can build for future state.
Those Applying should have:
- Strong background in Product Design from a B2B SaaS product company
- Demonstratable experience in building a Design System from early phase to completion including comprehensive style guides, design tokens, and component libraries.
- Strong understanding of design system best practices, user-centered design principles, and methodologies
- Experience in building Design System best practice, documentation and influencing your fellow product designers.
Hybrid in office min 2 days a week in Manhattan.
Senior Data Scientist - Recommendation Systems
London x3 days in office
Xcede are delighted to be partnering with a very exciting scale-up. The company is operating on a need-to-know basis right now, so if you want to learn more about this one please get in touch!
Responsibilities
- Help to build the Recommender System that powers the company's core platform.
- Help to define the company's Product strategy through creating impactful tools for customers / members.
- Mentor junior engineering & data science hires.
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Years of commercial experience working on and deploying recommendation engines
- Excellent Machine Learning and Deep Learning skills
- Experience of working and deploying at scale
- Knowledge Graph and entity linking experience
- General RecSys experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
DATA SCIENTIST - NLP
(London - 2 days in office per week)
Xcede are delighted to be working with one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals.
This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context.
Responsibilities
- Helping to define and implement NLP-led projects within the core Product.
- Work with the ML Engineering team to help productionise and scale the algorithms.
- Mentor junior team members
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Significant experience utilising NLP in a commercial setting, ideally for information extraction, entity recognition, etc.
- Experience working with transformers-based models such as BERT, GPT, etc.
- Extensive Deep Learning & Machine Learning knowledge.
- Usage of LLMs in a commercial environment is a bonus.
- PyTorch experience a major bonus - other ML frameworks are also accepted.
- Docker & Kubernetes experience is a bonus.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
MACHINE LEARNING RESEARCHER
(London - visit the office 3 days a week)
Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world's largest tech & manufacturing brands
The team are working on prototypes & proof-of-concept projects to be taken to important senior internal stakeholders and ultimately be embedded in the company's core operations and services (or released as separate Products).
Responsibilities
- Alongside experienced Researcher, work on prototypes that will ultimately make a huge impact.
- Explaining these ideas of stakeholders
- Helping to definite the future direction of Innovation within this global brand.
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.) - PhD background strongly preferred (alongside further post-doc research)
- Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.)
- Ability to communicate complicated and often hugely technical subjects simply to stakeholders in an effective way.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
MACHINE LEARNING ENGINEER
We are seeking another highly skilled and experienced ML Engineer to join our client's well-established team in London. In this role, you will be responsible for building and maintaining their data infrastructure, as well as productionising machine learning models and algorithms.
Key responsibilities:
- Build and maintain a robust and scalable data infrastructure that enables efficient data processing and model training
- Work closely with data scientists to productionise & deploy machine learning models and algorithms
- Collaborate with software engineers to integrate machine learning models into production systems
- Monitor and optimise model performance in production
- Contribute to the development of best practices and standards for machine learning engineering within the organization
- Stay up to date with the latest developments in machine learning and data engineering technologies
Qualifications:
- Strong understanding of machine learning concepts and techniques
- Proficiency in at least one programming language (ideally Python)
- Experience with data processing and storage technologies (PySpark a bonus)
- Knowledge of machine learning frameworks, such as TensorFlow or PyTorch
- Experience with cloud computing platforms, such as AWS or Azure
- Strong problem-solving and communication skills
- BS or MS in Computer Science or a related field is preferred, but not required
For more information on this and other roles, please contact me via niall.wharton@xcede.com
Senior Data Scientist
(London - visit the office x2+ days a month)
Xcede are delighted to be working with one of the most innovative companies in the FinTech space tackling issues around fraudulent activity, anti-money laundering measures, and customer authentication / identification. Significantly, the organisation has invested in an ML-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals.
This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context.
Responsibilities
- Helping to define and implement NLP-led projects within the core Product.
- Work with the ML Engineering team to help productionise and scale the algorithms.
- Mentor junior team members
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Significant experience utilising NLP in a commercial setting, ideally for NER/ Document understanding, etc. Hugging Face a bonus.
- Experience working with transformers-based models such as BERT, GPT, etc.
- Extensive Deep Learning & Machine Learning knowledge.
- Usage of LLMs in a commercial environment is a bonus.
- PyTorch experience a major bonus - other ML frameworks are also accepted.
- Docker & Kubernetes experience is a bonus.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Senior Data Scientist
(London - visit the office x2+ days a month)
Xcede are delighted to be working with one of the most innovative companies in the FinTech space tackling issues around fraudulent activity, anti-money laundering measures, and customer authentication / identification. Significantly, the organisation has invested in an ML-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals.
This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context.
Responsibilities
- Helping to define and implement NLP-led projects within the core Product.
- Work with the ML Engineering team to help productionise and scale the algorithms.
- Mentor junior team members
Requirements
- Strong academic background in a relevant field (Statistics, Computer Science, etc.)
- Significant experience utilising NLP in a commercial setting, ideally for NER/ Document understanding, etc. Hugging Face a bonus.
- Experience working with transformers-based models such as BERT, GPT, etc.
- Extensive Deep Learning & Machine Learning knowledge.
- Usage of LLMs in a commercial environment is a bonus.
- PyTorch experience a major bonus - other ML frameworks are also accepted.
- Docker & Kubernetes experience is a bonus.
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
NLP Machine Learning Engineer
FinTech Company
Permanent
£60,000 - £80,000 + benefits
London (hybrid - 1 day a week in the office minimum)
Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them.
Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models.
Key skills/experience required:
- A degree in STEM subject
- 2+ years industry experience
- Solid experience building ML and Deep Learning models
- Industry experience focused on using NLP techniques to train models
- Experience building and finetuning Large Language Models (LLMs)
- Experience developing ML solutions to Cloud
- Excellent grasp of Python/SQL + machine learning core libraries
- Excellent stakeholder management skills
For more information, please send an up-to-date CV to nathan.carolan@xcede.com
Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models
Senior ML Scientist
FinTech Company
Permanent
£80,000 - £95,000 + benefits
London (hybrid - 2 days a week in the office)
Xcede are excited to be partnering with an AI focused FinTech company who are looking to hire a talented individual to their Data Science/Machine Learning team. They are looking for an NLP focused Data Scientist who is experienced in building models and deploying them.
Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models.
Key skills/experience required:
- A degree in STEM subject
- 4+ years industry experience
- Solid experience building ML and Deep Learning models
- Industry experience focused on using NLP techniques to train and deploy models
- Experience building and finetuning Large Language Models (LLMs)
- Experience developing ML solutions to Cloud
- Excellent grasp of Python/SQL + machine learning core libraries
- Excellent stakeholder management skills
No sponsorship available for this role, unfortunately.
For more information, please send an up-to-date CV to nathan.carolan@xcede.com
Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models
NLP Machine Learning Engineer
London office x1-2 days per week
£60,000 to £75,000 Salary + Bonus & Benefits
OVERVIEW
A great opportunity for a Machine Learning Engineer/ NLP Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Machine Learning Engineer will include but not be limited to:
- Leverage Machine Learning/ NLP techniques to build Large Language Models.
- Fine-tune Large Language models and optimise them through applied Machine Learning.
- Help in driving an AI led culture throughout the business
YOUR SKILLS & EXPERIENCE
- Degree in a STEM subject
- Min. 2 years commercial experience in NLP/Transformers & ML
- Excellent experience with Deep Learning models
- Strong production ready coding skills in Python
- Strong experience in fine-tuning Large Language Models
- End-to-end DS experience from training models to deployment
- Excellent stakeholder management skills
No sponsorship available on this role.
HOW TO APPLY
Please register your interest by sending your CV to nathan.carolan@xcede.com or click the Apply Link!
Machine Learning, Python, NLP, LLMS, Large language models, FineTuningDeep Learning, Transformers, Huggingface, Pytorch, Computer Science
Senior NLP Machine Learning Engineer
London office x1-2 days per week
£80,000 to £95,000 Salary + Bonus & Benefits
OVERVIEW
A great opportunity for a Senior Machine Learning Engineer/ Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer will include but not be limited to:
- Leverage Machine Learning/ NLP techniques to build Large Language Models.
- Fine-tune Large Language models and optimise them through applied Machine Learning.
- Help in driving an AI led culture throughout the business
YOUR SKILLS & EXPERIENCE
- Degree in a STEM subject
- Min. 4 years commercial experience in NLP/Transformers & ML
- Excellent experience with Deep Learning models
- Strong production ready coding skills in Python
- Strong experience in fine-tuning Large Language Models
- End-to-end DS experience from training models to deployment
- Excellent stakeholder management skills
No sponsorship available on this role.
HOW TO APPLY
Please register your interest by sending your CV to nathan.carolan@xcede.com or click the Apply Link!
Machine Learning, Python, NLP, LLMS, Large language models, FineTuningDeep Learning, Transformers, Huggingface, Pytorch, Computer Science
Staff Data Scientist
Full time
£100,000 - £115,000 + benefits
London (Hybrid)
My client is a large global organisation looking to help make positive impact on the environment and they are looking for strong leaders to help contribute to this mission in their B2B digital function. This role will include working on improving the technical capabilities as well as managing stakeholder relationships
Responsibilities
- Collaborate with a diverse team of data scientists, data engineers, software engineers, data managers, and business partners as part of a cross-disciplinary effort.
- Work alongside data engineers and software engineers to develop scalable and impactful data science products, incorporating statistical and machine learning algorithms.
- Conduct thorough data analyses to extract valuable business insights.
- Provide data science best practices, including technical design, technical design review, unit testing, monitoring and alerting, code check-ins, code reviews, and documentation.
- Provide mentorship and guidance to team members.
Qualifications
- Must have extensive hands-on experience 6 years+ working fully end to end from modelling through to production and deployment
- Experience with A/B testing
- Possess in-depth applied knowledge of data science tools and approaches across all stages of the data life cycle
- Demonstrate thorough understanding of the underlying mathematical foundations of statistics and machine learning
- Strong experience of Python and SQL
- Previous experience with any of the following, Hadoop, Hive, and Spark
Unfortunately sponsorship isn't provided for this role
We are looking for a Director Product Design to work in a hyper-growth Series D company with well over $500M in funding secured that are looking for a design leader in their expanding design team in New York. You will be leading a team of 3 with the mandate to grow & hands on leading from the front.
This is a company that is at the cutting edge of AI search engine technology and provide a SaaS product that is enabling AI Search & Insights capabilities to the Fortune 1000 community. Using the latest Machine Learning, NLP and Speech-To-Text technology as the backbone of their product suite, this company is rapidly growing their market share and fast being recognized as the leader in this market intelligence segment.
You will drive the overall design vision and strategy, foster innovation, and ensure consistency and excellence in design execution while pushing the limits of our Generative AI capabilities.
It is expected the successful candidate will have:
● Domain expert who is passionate about crafting best-in-class product experiences and robust tools for tasks like note creation/distribution, project management, email, task management, newsletter creation, and integrations.
● "Player/Coach" who has helped build and lead product design teams and mentor eager designers to continued success and professional growth.
● Expertise in visual hierarchy, layout, and information architecture.
● Thorough knowledge of using and/or building design systems to ensure consistency and efficiency in product development
● Evangelize a holistic approach to user experience design with a deep understanding of product vision and objectives.
Role will be based in NYC on a hybrid basis and will be expected to have close collaboration with local product, engineering, sales and research teams.