326 to 350 of 2,182 Machine Learning Jobs in the UK

recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will work closely with architects to prototype and optimize the next generation of global AI clusters. What you will be doing … PyTorch) Hands-on experience with distributed KV cache optimization Familiarity with GPU and how they execute LLMs Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Solid grounding in systems research methodology, distributed algorithms, and profiling tools. Proficiency in C/ ...

behaviour at scale, enabling Kantar’s products to test scenarios and predict outcomes before they happen. What you’ll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

What you’ll do Design and own backend architecture for large-scale, data-intensive applications. Develop and optimize APIs that handle complex biological and ML-driven workloads. Build and maintain data pipelines for ingesting, transforming, and serving scientific data at scale. Deploy and manage infrastructure across Kubernetes and AWS, ensuring … robustness and observability. Drive system reliability through automated testing, monitoring, and fault-tolerant design. Collaborate across disciplines , working with ML engineers, biologists, and platform teams to ensure seamless integration between computation, data, and science. You should have Deep experience building and scaling backend systems and distributed applications . Strong coding ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data … deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI. Lead architectural design, capacity planning, and performance optimization efforts. Facilitate advanced analytics and machine learning initiatives utilising Fabric and Azure ML. Implement governance, security, and DevOps best practices. Mentor engineers and contribute to the development of platform ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data … deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI. Lead architectural design, capacity planning, and performance optimization efforts. Facilitate advanced analytics and machine learning initiatives utilising Fabric and Azure ML. Implement governance, security, and DevOps best practices. Mentor engineers and contribute to the development of platform ...

Senior Recruitment Consultant – Data, AI & Machine Learning (Contract/Interim) 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to dominate the fastest-moving market in tech? At Arrows Group, we know that in the world of AI and Machine Learning … Benelux/Dutch markets, helping our clients scale at pace. What you'll be doing: Lead a high-velocity Data/AI/ML contract desk, managing the full lifecycle from lead gen to deployment. Cultivate a deep network of immediately available freelance specialists (Data Scientists, ML Engineers, AI Researchers ...

identify business problems, conceptualise projects, deliver analysis, communicate insight clearly and assess real-world impact. The role works closely with BI Analysts, Data Scientists, Machine Learning Analysts and wider operational stakeholders to solve complex business challenges. Key Responsibilities Insight, Analysis & Project Ownership Take ownership of analytical projects from … with BI Analysts to support internal and external reporting requirements Build upon and enhance existing analytical work produced by colleagues Support Data Scientists and Machine Learning Analysts with data preparation and insight context Assist operational teams and senior stakeholders with complex analytical problems Contribute to improving analytical standards ...

Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field. Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture. Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI). Proficiency in C/C++ … tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this Systems Research ...

design and run reliable, scalable data systems. Key responsibilities include: Designing and owning batch and streaming data ingestion pipelines on AWS Building and maintaining ML ready datasets to support model training, inference, and experimentation Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data Integrating … implementation and understand how data supports business and product outcomes Comfortable collaborating across Data, Engineering, and Product in a fast moving environment Exposure to ML or analytics use cases, including preparing data for modelling or experimentation, is highly beneficial What They Offer Clear scope for progression as the data platform ...

kind of environment where your work will genuinely matter. The Role As a Senior Data Scientist, you will: Design, build, and deploy machine learning models that underpin core decision-making systems Develop pricing, segmentation, and behavioural models to drive commercial optimisation Work closely with product, engineering, and business … Experimentation and measurement frameworks to validate impact Model explainability and interpretability for business users What We’re Looking For Strong background in data science, machine learning, or statistical modelling Proven experience delivering models into production environments Commercial awareness — you understand how data drives business decisions, not just technical ...

skills, a problem‐led research mindset, commitment to open, collaborative, and trans‐disciplinary research. This role will strengthen the university’s capabilities in AI, machine learning, and data science, with applications aligned to one of our priority research areas: Health and Life Sciences; Defence and Security; Engineering … prior experience in these areas. You will have research expertise in generative AI (e.g. fine-tuning, prompt engineering, retrieval‐augmented generation) and/or machine learning (e.g. data preparation, model selection, optimisation, and evaluation). You will demonstrate a strong record of high‐quality publications and a clear ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...

Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within … Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage ...

apply data-driven insights to enhance operational efficiency across the business. This position sits at the intersection of automation, data analysis, and applied machine learning. You will work closely with business stakeholders to deliver scalable and practical solutions. Key Responsibilities Apply AI and automation techniques to streamline and improve … adhere to best practices for automation lifecycle management. Required Experience & Skills 3+ years of experience in automation engineering, intelligent process automation, AI/ML implementation, digital transformation, or a similar technical role. Strong proficiency in Python and SQL for data analysis and automation development. Hands-on experience with ...

Frequent Travel) £100,000–£120,000 + 25% bonus A high‐growth consultancy is expanding its AI & Digital capability, hiring multiple Data Science and Machine Learning leaders at Lead level. This team solves complex, real‐world problems … across Consumer, Public Sector and Defence, working closely with major AI partners. What You’ll Do Lead end‐to‐end delivery of DS/ML/AI solutions with measurable commercial or operational impact Shape, design and implement complex client programmes Influence senior stakeholders and guide client decision‐making Coach ...

Frequent Travel) £120,000–£140,000 + 35% bonus A high‐growth consultancy is expanding its AI & Digital capability, hiring multiple Data Science and Machine Learning leaders at Principal level. This team solves complex, real‐world problems … across Consumer, Public Sector and Defence, working closely with major AI partners. What You’ll Do Lead end‐to‐end delivery of DS/ML/AI solutions with measurable commercial or operational impact Shape, design and implement complex client programmes Influence senior stakeholders and guide client decision‐making Coach ...

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking … communicate complex technical ideas simply. Collaborate closely with technical leads and data scientists to ensure solutions are feasible, scalable, and valuable. Champion AI and ML excellence across the business. Contribute to shaping our go-to-market offerings and service lines. Bring market insights and emerging tech trends into our delivery ...

What you’ll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non‐technical audiences Confidence challenging constructively and influencing senior stakeholders Strong … with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people ...

working close to Data Science on systems that directly influence business outcomes. You'll be helping to shape the data foundations behind large-scale machine learning and fraud prevention. THE COMPANY A fast-growing SaaS business building technology to help advertisers improve performance and reduce wasted spend. … data. THE ROLE Design, build, and maintain data ingestion pipelines to ensure high-quality, well-structured warehouse data Develop pipelines that prepare data for machine learning, experimentation, and analytics use cases Improve and optimise the existing AWS Redshift data warehouse for performance and cost efficiency Work closely with ...

impact of your creations on millions of people across the UK. Additionally, you will benefit from a supportive culture that fosters innovation, collaboration, continuous learning, and personal ownership. Together, we strive to create a work-life balance that enables you to excel in your professional and personal aspirations. What … modelling methodologies, such as 3NF, Dimensional, and Data Vault , will be essential, and your expertise in staying up to date with industry advancements, including machine learning and modern algorithmic techniques at scale, will be valuable in driving data design best practices . Strong communication and influencing skills will ...

opportunity for a Senior Data Scientist to join the team. This role forms part of the function that underpins Ocado Logistics’ data science and machine learning focus, providing technical excellence and being a key contributor to your team and domain’s delivery. In this role, you will … solutions in line with your team’s standards About you - Extensive experience of working with both SQL and Python - Experience of developing and deploying machine learning models - Strong stakeholder and business partner management. Have used data to make recommendations and influence - Have worked in a high volume, fast ...

next step in your career? Perch Group are looking for a decision scientist to design and optimize data-driven solutions that support machine learning, statistical analysis, and predictive modelling. You’ll work closely with a team of analysts and the investment team to create high-quality, scalable data … data science, analytics, or applied statistical modelling , with a proven track record of delivering impactful solutions in complex environments. Strong hands-on experience applying machine learning techniques to real-world datasets, with demonstrable outcomes in business decisioning or operational optimisation. Expertise in advanced modelling approaches such as Random ...