Senior / Principal Recruitment Consultant - Data Science &amp; AI - Perm Desk About UsXcede Recruitment (part of the Xcede Group, based in London, Spain, Germany, Singapore, South Africa, and the US) is currently looking to hire an ambitious new Senior or Principal level Recruitment Consultant to join the Permanent Data recruitment function, specialising in Data Science, AI, and Data Engineering. The Perm Data Team is at the heart of Xcede's offering and contains some of the company's most consistent &amp; successful performers. Our network within this niche area spans over two decades, and you would get full access to this from day one! Alongside the more formal training provided by the company around both market knowledge (why are energy clients interested in Time Series Modelling professionals? What are the differences in LLM usage within a conversational AI context vs a document-based entity matching project?) and recruitment process (tailored by both your Manager and the Head of L&amp;D), you'll also be able to soak up the experience of these incredible billers. Due to a significant uptick in both new vacancies and placements made with our clients over a consistent period, the team are keen to find another great Recruiter to continue our position as a leader of the Machine Learning &amp; AI Recruitment space. Data Science and Machine Learning Recruitment at XcedeData Science has long been a flagship desk at Xcede - check out the recommendations of our work on profiles like those belonging to Matthew J Jones (MJ), Morgan Beck, Luke Frost, Nathan Carolan, and even my own (Niall Wharton). We're lucky to work with a huge range of companies - everyone from early-stage start-ups looking to scale quickly through to 'Tech Unicorns' with billion-dollar valuations. We also work with some of the companies who can be considered the true leaders in their field - FAANG, big banks, energy companies, huge media outlets, FTSE 100 organisations, and more. The team work on a blend of Contingent and Retained work depending on client assignments. The need for Data Science, Data Engineering, and AI talent is clearer than ever and this has been reflected by the most urgent requests from our clients. Alongside our recruitment efforts we also speak at Universities (UCL, Imperial, Royal Holloway), Data / Tech Bootcamps (General Assembly &amp; others), and host our own exclusive Technical Meet-up Events to give back to the Data community (partnering with the likes of OpenAI, Bumble, Deliveroo, Farfetch, Skyscanner and Criteo on these). We believe in relationship &amp; expertise-based recruitment, so this is important to us and we would want any potential hire to feel the same. About YouWe would like to speak to someone with previous recruitment experience (top marks for someone who has worked in a Data or Tech-focused market vertical to date) to ensure that they can hit the ground running with our help. Most importantly, we're looking for someone who has a clear idea of what the role will entail, and who is hungry to make the best of the opportunity on offer here with some guidance. Key traits that normally indicate a strong aptitude for the job include; <ul><li>Consistent attention to detail</li><li>Someone who holds themselves to high standards</li><li>Self-motivation</li><li>Clear written &amp; verbal communication skills</li><li>A generally personable approach</li></ul> What will your average day look like?<ul><li>Utilising our database, LinkedIn, and several other sources to introduce yourself to relevant professionals who will be interested in the roles that we're working on.</li><li>Introducing yourself to our clients and onboarding new organisations who want to work with us.</li><li>Writing job adverts to help with talent attraction.</li><li>Posting through social media channels to drive engagement with the Data community online.</li><li>Preparing the professionals that we represent for interviews and helping to answer any questions that they have about our clients.</li></ul> Why Xcede?<ul><li>An excellent client list</li><li>An excellent candidate network that is freely shared that stretches back circa 20 years (!)</li><li>A good commission scheme offering a huge chance to earn an excellent yearly salary / total comp.</li><li>A beautiful office in Euston that is equipped with a gym and showers.</li><li>Flexible start &amp; finish times (start an hour early, finish an hour early, etc.) to enable school runs &amp; pickups, or other social engagements in the evening.</li><li>A real belief in recruitment as a career (we have a clear org chart with measurables to achieve progression)</li><li>Holiday Incentives for strong achievements - previous destinations in recent years have included Rio de Janeiro, Las Vegas, Toronto, Marrakesh, and Dubai.</li><li>Fun social events like the work football team, comedy nights, Drag bingo, pub quizzes, karaoke, bowling etc.</li><li>Monthly 'Lunch Clubs' for the best performers each month - recent visits have been to Dinner by Heston, Sabor, Bob Bob Ricard, etc.)</li></ul> Our Employer Promise to YouI will do everything in my power to improve your craft as a recruiter, aid your development in your career, and ensure that you earn as much commission as you can with us while doing the job properly &amp; ethically to maintain our hard-earned reputation. To learn more, please apply here or contact me via niall.wharton@xcede.com - Thanks!

Senior Recruitment Consultant - Data Science, Machine Learning, and AI

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 <ul><li>Helping to define and implement NLP-led projects within the core Product.</li><li>Work with the ML Engineering team to help productionise and scale the algorithms.</li><li>Mentor junior team members</li></ul> Requirements <ul><li>Strong academic background in a relevant field (Statistics, Computer Science, etc.)</li><li>Significant experience utilising NLP in a commercial setting, ideally for NER/ Document understanding, etc. Hugging Face a bonus.</li><li>Experience working with transformers-based models such as BERT, GPT, etc.</li><li>Extensive Deep Learning &amp; Machine Learning knowledge.</li><li>Usage of LLMs in a commercial environment is a bonus.</li><li>PyTorch experience a major bonus - other ML frameworks are also accepted.</li><li>Docker &amp; Kubernetes experience is a bonus.</li></ul> 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 Data Scientist

LEAD DATA ENGINEERLondon x2 days a month in office OVERVIEWXcede are delighted to be partnered with one of the UK's most impactful HealthTech brands. The organisation have won numerous awards for their data-led approach to designing an impactful B2C product that has entirely disrupted their domain and outperformed their competitors. With a well-established analytics, data science, and data engineering function already in place, the team is looking for a Lead Data Engineer to come in act primarily as a Principal IC while also helping with management of junior engineers (we'd like to see some experience of this). RESPONSIBILITIES<ul><li>Manage and assist a team of data engineers.</li><li>Design and continue to build essential data infrastructure for the organisation alongside data pipelines &amp; ETLs.</li><li>Collaborate with data scientists and machine learning engineers to design and implement scalable and efficient ML-based solutions.</li><li>Coach and mentor your junior team members.</li></ul> REQUIREMENTS<ul><li>BSc/ MSc / PhD degree in Computer Science or STEM subject</li><li>Demonstratable commercial experience working on Data Pipelines, Data Warehouse, and ETLs.</li><li>Strong Python coding skills</li><li>GCP experience (GCP Datastream, Pub/Sub, Dataflow, Dataform, BigQuery)</li><li>Experience with modern development methods and tooling:</li></ul> <ol><li>containers (e.g., Docker)</li><li>container orchestration (Kubernetes / K8s)</li><li>CI/CD experience</li><li>Version control (Git, Github, Gitlab)</li><li>Orchestration / DAGs tools (e.g., Argo, Airflow, Kubeflow)</li><li>Infrastructure as Code (Terraform, etc.)</li></ol> HOW TO APPLYPlease register your interest by sending your CV to niall.wharton@@xcede.com or click the Apply Link.

Lead Data Engineer

Senior Data Engineer (Snowflake)London - x2 days in office a month as a rough expectation. Xcede is delighted to be recruiting a Senior Data Engineer on behalf of a market leader in the retail and e-commerce space. Our continues to invest in innovation, delivering unparalleled shopping experiences to millions of customers in several formats. As they continue to expand their operations and enhance their digital capabilities, they're seeking an experienced Senior Data Engineer who shares their ambition for well-structured, stable, scalable Data management systems. The Senior Data Engineer should come with a proven track record in managing large-scale data infrastructures and pipelines that support sophisticated analytics. The ideal candidate will be responsible for designing, building, and maintaining robust data solutions that drive strategic decision-making across multiple business units. This role is for someone who principally still loves to code, but who also feels comfortable engaging with stakeholders and mentoring others. Key Responsibilities: <ul><li>Design and implement scalable data architectures using modern cloud platforms. Our client have a strong preference for Snowflake experience, but are open to those from a GCP / AWS / Azure background more generally.</li><li>Develop high-performance ETL/ELT processes for batch and (ideally) real-time data integration.</li><li>Ensure optimal extraction, transformation, loading (ETL) processes by implementing quality checks and balances.</li><li>Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand their data needs.</li><li>Support machine learning model deployments by ensuring seamless access to quality datasets.</li><li>Troubleshoot complex issues arising from extensive big-data environments.</li><li>Maintain comprehensive documentation of systems architecture and workflows.</li></ul> Qualifications: <ul><li>Ideally, a Bachelor's degree in Computer Science or related field; Master's preferred.</li><li>Several years of demonstrated commercial experience as a Data Engineer or similar role within large-scale environments dealing with large data sets.</li><li>Expertise in SQL &amp; dbt.</li><li>Significant Python coding skills</li><li>Containerisation experience (Dockers, Kubernetes)</li><li>Cloud Computing experience ( GCP / AWS / Azure )</li><li>Strong preference for a Snowflake background</li><li>Knowledgeable working infrastructure-as-code tools Terraform, Ansible etc.</li><li>Clear commercial experience in an automation &amp; TDD environment - testing is of the utmost importance to our client.</li></ul> Our Client Offer: <ul><li>A Competitive compensation package including a discretionary bonus and strong benefits</li><li>Flexible work arrangements (come to the office as much as you want - equally the engineering team functions as a UK-based remote first group)</li><li>A collaborative work environment (you'll notice the long tenures in the company)</li><li>Continuous professional growth development</li></ul> 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 Engineer

​Since setting up Xcede's Data Science and Data Engineering Recruitment offering from scratch back in 2013, Niall has earned nearly a decade of experience recruiting in this specialist area of the data space. Alongside his colleague Matthew, Niall was one of the first UK recruiters to place Data Science roles and has witnessed the industry evolve from the ground up. Being one of the first recruiters in the UK to focus on this arena of Data, Niall has played a key role in curating Xcede’s industry-leading events in the data recruiting space. Niall consults for roles at each level from Associate through to Director, for a range of jobs including Senior Data Scientist and Head of Analytics to Machine Learning Engineer and Big Data Architect and beyond. He has since been promoted to Associate Director.​

Niall Wharton

Associate Director

<div class="job-preview__description ">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<ul><li>clear technical and strategic leadership for the ML Engineering unit.</li><li>the timelines and roadmap to enable Product execution.</li><li>with Machine Learning &amp; Data Science leadership to think of new useful ideas.</li><li>into 'hands-on' elements of the role and provide engineering standards and best practice for the unit.</li></ul> Requirements<ul><li>An academic background in Statistics, Mathematics, or Computer Science (or similar)</li><li>A number of years of commercial experience acting as a cross functional leader for both software and ML engineers.</li><li>An ability to write production quality Python code.</li><li>An understanding of the end to end Machine Learning lifecycle.</li><li>Spark &amp; Spark Streaming experience</li><li>Azure &amp; DataBricks experience.</li></ul> 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). </div>

Machine Learning Engineering Team Lead

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Niall Wharton

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