1,101 to 1,125 of 3,266 Machine Learning Jobs in the UK

AION is seeking a hands-on AI engineer with 6-8+ years of experience to join our enterprise AI platform team. You will own delivery of high-stakes customer projects, embedding at client sites ...

TLDR: We are looking for several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. About … right in if you: Strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. Solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. Comfortable at scale: distributed ...

startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet … protein structures, molecular data, or similar. Familiarity with our broader tech stack: Kubernetes, Dagster, or similar orchestration and infrastructure tools. Contributions to open-source ML frameworks or research codebases. Publications at major venues (e.g., NeurIPS, ICML, ICLR, or JMLR) What we offer in return Impactful Mission: This is a rare ...

Barlowe LLP seeks a Machine Learning Engineer to join the ML and HPC Architecture team, based in London. This role involves working with cutting-edge technology, collaborating on various ML projects, and optimising processes to enhance performance across teams. Ideal candidates will possess a postgraduate degree in Machine Learning or related experience, along with strong programming skills in Python and familiarity with ML model building. The role does not require finance experience, encouraging diverse applicants. #J-18808-Ljbffr ...

Baringa is seeking experienced Machine Learning Engineers to join the Solutions and AI Lab Team. You will define and implement ML projects across the full lifecycle, establish ML Ops standards, and work with clients to upskill and take ownership after delivery. The role focuses on applying state … diverse industries, with a strong emphasis on production deployment, cloud platforms (AWS/Azure/GCP), and scalable ML pipelines. #J-18808-Ljbffr ...

Data Scientist London or Leicester (2 days per week) Join a growing Data Science team where you'll build machine learning solutions that directly influence customer engagement, retention, and commercial performance. This is a highly visible role with significant stakeholder exposure and the opportunity to work on both … deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

Data Science & AI Consultant, you will work with Defence and Security clients to solve complex, mission-critical challenges using data, machine learning, and artificial intelligence. The role involves developing and deploying innovative AI solutions, from initial research and prototyping through to production-ready applications, while helping clients improve … learning approaches including statistical modelling, supervised and unsupervised learning, deep learning, transformers, and generative AI.Experience delivering solutions across the AI/ML lifecycle, from data exploration and prototyping to deployment and operational suppo rt.Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn ...

will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML … systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable ...

days per week in the office initially Up to £55,000 I am working with an innovative technology company that uses AI, machine learning and modern software engineering to build products that solve real-world transport challenges. They are looking for a Junior Software Developer with around … NoSQL databases, including PostgreSQL, SQL or MongoDB Practical commercial exposure to machine learning projects Experience contributing to the deployment of an ML solution as part of a team Experience with React, AWS, Django, Flask, FastAPI, REST APIs, Git or CI/CD would also be beneficial. ...

days per week in the office initially | Up to £55,000 I am working with an innovative technology company that uses AI, machine learning and modern software engineering to build products that solve real-world transport challenges. They are looking for a Junior Software Developer with around … NoSQL databases, including PostgreSQL, SQL or MongoDB Practical commercial exposure to machine learning projects Experience contributing to the deployment of an ML solution as part of a team Experience with React, AWS, Django, Flask, FastAPI, REST APIs, Git or CI/CD would also be beneficial. ...

prioritize high-impact AI use cases across product development, service delivery, and internal operations. Stay abreast of the latest advancements in AI/ML research, technologies, and industry trends, evaluating their potential impact and application within the company. Key Responsibilities Lead the re-structuring and governance of enterprise data … enable AI-driven insights. Identify and deliver high-value AI/ML use cases, particularly in drug development and commercial strategy. Build internal AI capability while overseeing and challenging external vendors. Translate complex technical insight into compelling business narratives for senior stakeholders. Act as a thought leader across the business ...

+ Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high‐performing teams by coaching … cross‐functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Qualifications Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning ...

data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem — partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems. … ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action. What Success Looks Like in This Role: Production-grade ML models and anomaly detection systems that effectively surface and mitigate novel fraud vectors before they scale. Well-designed experiments that successfully balance customer experience against ...

experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built … comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users ...

solutions across our global operations. We are establishing an \"Agentic Factory\" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

will work with extensive datasets to develop models that determine odds and drive in‐play betting decisions while leveraging state‐of‐the‐art machine learning techniques to analyse and interpret complex sports data. Our fast‐paced, delivery‐focused environment offers significant opportunities for technical growth and innovation. This … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit‐learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide best practice. Deep understanding ...

machine-learning systems across a complex, regulated financial-services estate. This is a strategy-led and hands-on applied data science and ML engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection … production-grade models, comparable in rigor to fraud, risk, or surveillance systems. \*\*What's In for you :\*\* The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny. You will work closely ...

want to build AI and data products that are actually deployed into client environments? Have you worked on ML projects and wondered how they create commercial impact at scale? Are you ready to combine Data Science, consulting, and AI transformation in one role? A globally recognised strategy consultancy is hiring … client-facing engagements and internal innovation projects. **3 years of experience in data science/analytics required** Key Responsibilities • Build and deploy Python-based ML and analytics solutions • Support AI transformation and workflow automation initiatives • Develop reusable data products and internal tools • Present findings and demos to technical ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

# Founding Engineer - Back End, Full-StackLondon, UKFull-time23 hours agoWe’re looking for a self-driven founding engineer to build and own the ML infrastructure and data engineering of a venture-backed technology company securing the critical resources of the future by transforming inflexible, foundational industries with technology. … powers our enterprise platform, turning complex geophysical models into a secure, lightning-fast SaaS product. In practice, you are the backbone that connects our ML platform to our user interface, ensuring our system is rock-solid when enterprise mining leaders trust us with their data.Three things, done well, every week ...

cross-disciplinary team — computational chemists, in-house and partner medicinal chemists, AI researchers, data engineers, and automation scientists — and help translate structure, simulation, and machine learning into molecules we actually make. What sets this role apart is the design–make–test loop: working directly with partner chemists … team. Key Responsibilities Run computational design across the CADD stack — docking, pharmacophore, shape and 3D-similarity, MD, FEP, and QSAR — choosing appropriate physics- and ML-based approaches for each question. Design, enumerate, and prioritise molecules and libraries for synthesis, and triage and analyse the results across DMTL cycles. Work with ...

prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. Drive Business … primary interface between the Data Science team and the wider audience (Product, Operations, Engineering). Expertly translate complex data insights and machine learning concepts into clear, actionable business insights for non-technical audiences. Technical Guidance & Conceptual Design (Approx. 25%) Conceptual Model Design: Focus on the conceptual design ...

backbone of DraftKings’ machine learning capabilities. You’ll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering – working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams … Build and manage cloud infrastructure using AWS and infrastructure‐as‐code tools like Terraform. Architect and document scalable systems that support reproducible and automated ML workflows. Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs. Lead complex engineering projects from design ...