WE ARE AI & MACHINE LEARNING RECRUITMENT SPECIALISTS

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.