Data scientist jobs in United Kingdom - Page 5

We are seeking a Senior Data Scientist with strong expertise in computer vision to design and deploy models that solve complex, real-world image challenges. Develop and deploy computer vision models, with a focus on image classification and quality scoring. Proven experience with computer vision, pa

Data Idols are proud to be working with an iconic UK brand to assist them in building out their data team as they undertake a data-driven journey that will transform the business.This opportunity for a Senior Data Scientist will focus on setting technical standards and leadership.You will work on a

A leading media technology company in the United Kingdom is seeking a principal-level individual contributor with significant responsibility for technical strategy, standards, and architecture across recommendation and personalization systems.

Through impactful data insights and data products, the team focuses on areas such as metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. Serve as a lead data strategist to identify and integrate new datasets that can be leveraged through

A leading professional services firm in the UK is seeking a Data Scientist to work in the Defence and Security sector. This role involves making data valuable for clients by applying advanced analytics and machine learning techniques. Candidates must hold UK security clearance to Developed Vetting l

Proven experience as a Data Engineer/Data Scientist, with a strong portfolio of building real-time data systems using modern approaches. Assist with building our Data Platform and solve complex data problems to deliver insights, helping to build our trading data platform. Support the design and deve

Resources Group - London - To £60,000; London/Flex Join this leading renewable energy provider's new tech orientated brand in a key Marketing Data Scientist role! You're both a marketing analytics and data science whiz, yes? If so, you'll be involved in analysing complex marketing and customer data

At Direct Line Group, insurance is just the start. Pricing our products is a fine line between balancing our business goals and customer needs.

Ideal candidates should have strengths in SQL and Python, with proven problem-solving skills and the ability to effectively communicate complex data insights. A leading food and technology company in London is seeking a Data Scientist to drive data-driven decision-making across various business area

An iconic international airport in the UK is seeking a Senior Data Scientist to optimize data-driven operations through advanced analytics and machine learning.You'll collaborate closely with cross-functional teams to design and implement robust data models that address real operational challenges.I

A data-driven company in London is seeking a data scientist to define data culture and impact product direction.You will perform complex analyses that inform decisions and contribute to high-profile product launches.The ideal candidate is fluent in SQL and Python, with strong problem-solving skills

Senior Data Scientist (Senior Software Engineer), BBC Verify.Up to £70,000 plus London weighting depending on relevant skills, knowledge and experience.We’re happy to discuss flexible working.Please indicate your choice under the flexible working question in the application.The BBC offers great o

A leading sports analytics firm in London is seeking a Senior Data Scientist specializing in cricket modelling and simulation.

Data Scientist I – QuantumBlack, AI by McKinsey. At McKinsey, you’ll thrive in an unparalleled environment for growth.

Candidates should have over 20 years of experience in data science and thrive in high-pressure, regulated environments. Comprehensive benefits and a commitment to employee well-being are also part of the offer. A leading financial services firm based in the UK is seeking a Data Scientist Leader to o

You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor’s behalf, including also transfers to servers and databases outside the country where you

Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud. Thi

Mistral AI is seeking an Applied Scientist to drive innovative research and facilitate the adoption of its products among customers, collaborating with them to address complex technical challenges. In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data

A technology consulting firm based in the United Kingdom is seeking a Data Scientist specializing in optimisation.The role involves developing machine learning and optimisation models as part of a full-stack product squad.Key responsibilities include data pipeline development and stakeholder engagem

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI). Quantitative Researcher with Machine Learning experience, Systematic Equities. Senior Machine Learning Scientist - Search.

A leading consultancy in London is seeking a Lead Data Scientist to drive data science strategy and innovation.You will develop data-driven solutions, oversee project implementation, and collaborate with clients and team members.The ideal candidate is proficient in Python, has strong communication s

We're looking for a Senior Data Scientist to help shape the future of data and analytics at Heathrow. Designing and delivering complex data science models, including machine learning and forecasting approaches, to solve critical business challenges. Carrying out advanced analysis such as statistical

Design, build and run reproducible NGS data analysis pipelines for genomics, transcriptomics, metagenomics, microbiome profiling and single‑cell analysis. Senior Scientist – Bioinformatician (Data Analysis) (full‑time, permanent) – South Mimms, Hertfordshire. Extensive experience delivering

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

This is a fantastic opportunity to work as a Data Scientist, working with Scientists, for a major pharmaceutical company, on a remote basis, outside IR35. The key skills required for this Data Scientist vacancy are: Extract knowledge and insights from image-based data Work with biomarker scientists and pathologists to interpret analysis results Data preparation, modelling, analysis and visualization If you do have the relevant skills for this Data Scientist vacancy, please do apply

Were looking for an experienced Regulatory Reporting / Controls Framework Lead to join a hands-on pilot in a UK-regulated banking environment. The focus is on PRA principle-based requirements (initially across counterparty credit risk / traded risk ) and turning them into a practical, defensible set of controls, governance and reporting , following issues identified in the current set-up. London (Hybrid) | Start: early March | Initial pilot: approx. 2 months (likely extension) | IR35 / engagement model: TBC This is a delivery role. Youll need to be the person who can sit with Risk/Finance/Controls stakeholders, work through what the PRA expects versus what the bank actually has, and rebuild a framework that stands up. Theres also a longer-term aim to automate parts of the approach, but this role is about getting the foundations right. Key Responsibilities Interpret PRA principle-based expectations and supervisory requirements Convert regulatory principles into clear controls, ownership and governance Map controls to existing processes, data sources and evidence Identify gaps and agree remediation actions where things dont stack up Build and document a regulatory reporting / controls framework Work directly with senior stakeholders across Risk, Finance, Credit and Controls Produce practical outputs (mapping, evidence packs, reporting approach) that can support future automation Key Requirements Strong experience delivering regulatory reporting / regulatory change in UK banking or consulting Good exposure to PRA-style, principle-based regulation Proven track record rebuilding controls and reporting frameworks (you must be hands-on) Background in credit risk / wholesale risk / traded risk / counterparty credit risk Comfortable working at pace in a slightly ambiguous pilot set-up Able to work hybrid in London (on-site presence required) Available to start early March Important Notes (to avoid misalignment) This isnt a pure Business Analyst role This isnt a junior reporting analyst position This isnt an AI/data scientist role (AI enablement is a separate workstream) TPBN1_UKTJ

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. About your role: This is a high-impact, highly technical role for a capital analyst or data scientist who wants to go far beyond regulatory calculation. You'll use modelling, automation, and analytics to shape real commercial and underwriting decisions across Centrica Home. You'll expand how the capital model is used across the business, automate trusted end-to-end workflows, build intuitive interactive dashboards (Python/pandas, Streamlit/Plotly), detect performance trends early, and translate insights into clear underwriting actions. You'll also design repeatable AI-enabled competitor monitoring, turning complex signals into crisp, actionable recommendations for senior leaders, with impact at scale across ~10 million customers. Responsibilities of the role: Capital model development & use-case expansion Enhance and evolve the capital model. Proactively identify new business use cases for capital outputs and embed them across the organisation. Bring stakeholders with you, improving decision quality and model adoption. Automation & trusted workflows Streamline and automate core processes - data ingestion, validation, run logging, results storage. Ensure outputs are reliable, reproducible, and ready for decision-making at pace. Underwriting performance & actionable insight Monitor underwriting performance and emerging trends (profitability, loss ratio drivers, etc.). Drive recommendations that influence pricing and underwriting decisions. Prioritise early trend detection over retrospective explanation. Best-in-class dashboards & visualisation Build and own clear, interactive dashboards and "what-if" tools. Make capital and underwriting insights easy to explore and hard to misinterpret using tools such as Plotly, Streamlit, or similar. Competitor & market intelligence (AI + analytics) Develop repeatable, AI-powered monitoring of competitor propositions, service levels, and customer sentiment (where appropriate). Deliver concise "what changed / so what / now what" updates that inform commercial and underwriting strategy. Here's what we're looking for: Capital modelling experience , ideally within insurance, with a track record of turning capital outputs into business decisions. Strong understanding of underwriting performance , including how to investigate movements and recommend actions. Excellent communication and persuasion skills , able to present clearly to senior stakeholders, handle challenge, and land decisions with a structured narrative. Advanced dashboarding and visualisation capability , creating tools that make complex information simple, intuitive, and actionable. Strong Python skills (pandas, Streamlit, automation mindset) - using technology to make insight faster, clearer, and more scalable. Bonus skills: SQL (SQLite/Postgres), practical LLM workflows with evaluation/guardrails, competitor intelligence experience. Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we're a great place to work and what being part of more means for you. If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. TPBN1_UKTJ

Data Scientist (Predictive Modelling) – NHS SR2 Consulting has an urgent requirement for a Data Scientist to support an NHS client on a contract basis. Our client is delivering a data-led solution to support discharge planning and patient flow in an acute healthcare setting. We are seeking a data scientist with experience in predictive modelling, clinical data, and EPR systems to join an established team. Responsibilities: Develop predictive models (Python/SQL) to estimate patient discharge timing. Integrate models into an existing EPR system using live data. Collaborate with clinicians, analysts, and engineers to define features and validate outputs. Support model tuning, performance monitoring, and stakeholder reporting.Required Skills: Strong experience in Python and SQL for modelling and data engineering. Proven background in data science or machine learning. Experience working with or integrating into EPR systems (e.g. EPIC). Understanding of acute healthcare settings and patient flow. Strong communication skills with technical and non-technical stakeholders

Please note this is a training programme and fees apply* Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. * HTML Essentials (6 weeks) * CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. * Learn the Command Line (1.5 weeks) * Learn Git & GitHub (1.5 weeks) * Learn JavaScript (1.5 weeks) * Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses * AWS Certified Cloud Practitioner * Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer

Are you an experienced software engineer, familiar with Azure, Python Or Typescript and Mongo/ Atlas? Are you looking for a rare and exciting permanent software engineer lead role with a rapidly expanding SaaS business who are offering equity and the opportunity to build your own team? Our client is looking for an experienced software engineer who is looking for the next step in their career or has experience of building or leading a software engineering team. Whilst the role is remote working, the client is initially looking for someone to be based within a commutable distance of London (1 hour). This is a great hands-on coding role where you will be leading and challenging, whilst integrating LLM/ AI into a B2B workflow solution. More Detail: Build, Code, and Lead in a High-Velocity AI Startup Location: UK, greater London area (Hybrid, 1-2 days/week in-person) Role Type: Permanent, Full-time Reporting to: Founder & CEO Team Trajectory: Scaling from 2 to 8 engineers in the next 18 months Stage: Early-Stage B2B SaaSOur client is looking for a code-first leader to take ownership of engineering delivery for a growing AI-driven SaaS product. This is a career-defining "step-up" opportunity for a Senior or Lead Engineer who is ready to be a Head of Engineering. They do not need an enterprise manager, they need a builder who wants to lead, setting the technical tempo, and shipping value fast. You will have full autonomy to shape the engineering culture, keeping it lightweight, modern, and void of unnecessary ceremony. You will not be inheriting a massive legacy team or bureaucratic processes. Instead, you will take the reins of a lean, existing unit (1 Engineer + 1 Contractor) and lead the build-out of the engineering function over the next 18 months. You will define the culture, set the standards, and hire the squad that will take us from early traction to Scale-Up. What You Will Do: Lead & Code: In the early days, you are a player-coach. You will spend 80% of your time on architecture, code reviews, and shipping features, and 20% on strategy and management. As the team grows, this ratio will adopt. Define the rhythm: Establish a high-velocity shipping cadence. They value iteration over perfection. Pragmatic Architecture: Make technical choices that balance speed today with scalability tomorrow. Avoid over-engineering. Strategic Partner: Serve as the technical right hand to the Founder/CEO and product. You will translate business vision into technical reality, ensuring they ship fast without breaking the product. Pragmatic Modernization: Implement lightweight, effective engineering practices (CI/CD, Code Reviews, QA) that speed us up, not slow them down. AI Integration: Lead the engineering side of integrating AI/LLM components into a robust SaaS architecture. Build the Engine: Grow the team from its current size to 8 engineers by the end of 2026. You will drive the hiring strategy, spotting talent that fits a high-velocity startup. The Tech Stack (Modern & Simple): Core: Python and/or TypeScript. Infrastructure: Azure (Functions, Containers), Kubernetes (managed simply for deployment, not complexity). Data: MongoDB Atlas. AI: Integration of LLM/AI components into a B2B workflow. (beneficial) Philosophy: Event-driven components, CI/CD automation, "boring" tech where possible to move fast.The Person: Experience: You will have 4+ years of software engineering experience Startup DNA: You will have ideally spent at least 1 full year inside a true startup (Seed-Series B). Understanding that "process" should serve the code, not the other way around. You know how to operate with limited resources and tight deadlines. Technical Authority: You can confidently architect, code, and debug. This is a hands-on role - not a people-management-only position. Leadership Potential: You have ideally mentored engineers or led a small squad (2-6 people) and are ready to take full ownership of a function. Technically Versatile: You understand modern cloud-native development and can navigate the ambiguity of integrating AI features without needing to be a Data Scientist. Transparent: You communicate bad news early and good news often. You don't hide behind technical debt.Our client is offering a basic salary of £60,000 - £65,000 (possible more) depending on experience plus equity of the business. If you are looking to join a forward-thinking and rapidly expanding SaaS company then APPLY NOW in complete confidence or contact Dominic Quirke at Advancing People directly. Advancing People - The Recruitment Specialist Advancing People Ltd is an Equal Opportunities Employer and acts as both an Employment Business and Employment Agency

Data Scientist - Optimisation 6 Months Hybrid - 3 days per week on site at Heathrow £Market rate (Inside IR35) Role Purpose This role is responsible for developing industrialised optimisation and machine learning models as part of a full-stack product squad delivering operations decision-support software. Scope As a key member of a product squad, reporting to the Lead Product Data Scientist, the Data Scientist will: Develop data pipelines, machine learning models, and optimisation models Own modelling and robust feature implementation Ensure seamless integration into the technical stack and business processes Accountabilities The Data Scientist is accountable for the full value chain of building industrialised data-science software products, including: Business problem understanding Analysis and visualisation Prototyping ML and optimisation models in Python Production-grade software development Data pipelines and orchestration CI/CD, testing, logging, and robustness Stakeholder engagement and roadmap contribution Agile ways of working Core Traits Systems thinking Detail-oriented with big-picture awareness Curious, proactive, resilient Data-driven and pragmatic Collaborative technologist Skills and Capabilities Machine learning, optimisation, and operations research Fluent Python; strong DS/ML libraries Cloud platforms (AWS preferred) CI/CD, orchestration, containerisation Strong SQL and data engineering skills Excellent communication and analytical ability Qualifications and Experience Strong experience with production ML/optimisation experience Experience with industrialised software products preferred Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change

Keystone Recruitment Partners are delighted to be working exclusively for our International Data Science Consultancy client working with some of the world's most recognisable brand companies providing creative and elegant data science solutions to real-world supply chain, manufacturing and logistics problems. Our client pride themselves on being at the forefront of AI, Data, Software and Technology providing their clients with real-world efficiency gains and savings. They are looking for Senior and Lead Data Science professionals to join their growing, globally dispersed team of experts in various fields. This role will be fully remote and will be on a freelance 12 month rolling contract with an annual remuneration review. The successful candidate will have a range of skills including: 1. Proven track record of pioneering data science techniques in a commercial setting., 2. Fluent in Italian or French (And English), 3. Consultancy experience, 4. Supply Chain, Manufacturing or Logistics expertise with proven track record in solving complex problems in these fields through data science/AI/software., 5. Technical expertise with Python, R, SQL, Azure and evidence of continuous improvement and learning on the latest software and technology packages. In return our client are offeirng substantial remuneration package depending on experience of between £(phone number removed) per annum. There is also a bonus. The client operates a fully remote policy with very occasional travel (one annual trip of under 1 week) to European cities for team training

Data Scientist / Machine Learning Engineer Join our team as a Data Scientist / Machine Learning expert in the Analytics department within the business services industry. This permanent position, based in London, offers an opportunity to apply advanced data science techniques to deliver actionable insights. Client Details Data Scientist / Machine Learning Engineer Our client is a well-established organisation within the business services industry. They are a medium-sized entity with a commitment to innovation and excellence in their field, providing a supportive environment for professional growth. Description Data Scientist / Machine Learning Engineer Develop and implement machine learning models to analyse complex data sets. Collaborate with cross-functional teams to identify business challenges and provide data-driven solutions. Optimise data pipelines and workflows for improved efficiency. Translate analytical findings into clear insights and recommendations for stakeholders. Stay updated on the latest advancements in data science and machine learning methodologies. Create and maintain detailed documentation of data models and processes. Conduct exploratory data analysis to uncover trends and patterns. Ensure data quality and integrity throughout all analytics processes.Profile Data Scientist / Machine Learning Engineer A successful Data Scientist / Machine Learning expert should have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Strong data analysis, statistical modelling, and experimentation skills. Experience with data visualisation tools and techniques. Proficiency in programming languages such as Python, R, or similar. Knowledge of data processing frameworks and platforms. Attention to detail and a methodical approach to problem-solving.Job Offer Data Scientist / Machine Learning Engineer Competitive salary ranging from £60,000 to £69,000 per annum. Comprehensive standard benefits package. Opportunity to work in the thriving business services industry. Located in the heart of London with excellent transport links. Permanent role with opportunities for professional growth and development.If you are ready to take the next step in your career as a Data Scientist / Machine Learning specialist, we encourage you to apply now

NLP / GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite - do not apply if needing fully remote) Certain Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products. Responsibilities In this role you will: Design, implement and maintain scalable NLP and GenAI pipelines (including data processing, preprocessing, evaluation). Perform advanced data analysis on real-world datasets to extract meaningful insights and support decision-making processes. Stay up to date with state-of-the-art research in the space of LLMs/ NLP, proposing new ideas and methodologies that unlock business value. Contribute to the development of RAG systems and retrieval pipelines, including chunking, embedding, re-ranking, and evaluation. Participate in experiments, including designing experimental details, writing reusable code, running evaluations, and organising results. Collaborate with a team and help in prioritising research that has a direct value Work closely with stakeholders, project managers, and architects to gather requirements, plan project scopes, and deliver projects within agreed timelines.Candidate Requirements Experience and understanding of modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. Strong knowledge of Python programming for developing and debugging AI models. Excellent communication skills and a collaborative mindset with the ability to work effectively across teams and disciplines. Strong interest in cross-disciplinary collaboration to support research that delivers both business value and scientific impact. Can you offer Python coding and NLP knowledge and does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use. Location: 1 day per week in London, remainder remote (UK based) Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits Requirements for Senior Machine Learning Scientist: Strong experience in research and development of computer vision machine learning models Experience implementing state-of-the-art deep learning models in PyTorch Experience training large models across multiple GPUs and compute nodes Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning Strong Python and PyTorch skills, with the ability to read and write high-quality training code Experience writing and maintaining production-grade Python code, including optimising training performance Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing Experience working in cloud environments Strong Linux and Git skills alongside modern Python development tooling Proactive, self-sufficient and communicative working style Strong English written and verbal communication skills MSc or PhD in Computer Science or a closely related subject Responsibilities for Senior Machine Learning Scientist: Research and develop advanced deep learning and computer vision models applied to complex medical data Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression Translate academic research into robust and usable machine learning solutions Publish research outcomes in leading conferences and journals Collaborate with engineering teams to support downstream deployment and application of models Keep up to date with developments in machine learning research and apply them where appropriate What the role offers: A genuinely research-led machine learning position Opportunity to publish high-quality research Exposure to large-scale datasets and high-performance compute environments Hybrid working with a remote-first setup Competitive salary with flexibility for exceptional candidates Applications: If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). Keywords: Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux