176 to 200 of 1,225 Machine Learning Jobs in the UK excluding London

Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready … would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect ...

eliminate redundancy by supporting with application consolidation and rationalisation, to then be able to reinvest funds such as in emerging technologies, currently including AI, Machine Learning, Big Data and Cloud initiatives. Provide technical recommendations and guidance for developing and delivering technology stacks, APIs, governing AI, etc., as well … improve customer experience. Deep technical knowledge “Proficient” to “Expert” level across a broad technology landscape, included but not limited to Data Engineering, Data Analytics, Machine Learning and AI. Experience and understanding with different delivery methods and tools including Waterfall, Agile, KANBAN, and JIRA. Understanding of market trends ...

Data & ML Engineer Newcastle (Hybrid) Build intelligent data products. Deploy real-world AI. Scale modern data platforms. A global consultancy is expanding its data capability and hiring a Data & ML Engineer to deliver high-impact solutions across enterprise clients. This is a hands-on engineering role where youll design pipelines … deploy machine learning models, and help shape modern AI-driven systems. What youll be doing Build and optimise data pipelines and ML workflows Develop and deploy ML models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/ ...

exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required … effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. · Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). · Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle … following essential skills Strong experience with Machine Learning and LLMs (such as GPT or BERT). Proficient in Python and standard ML libraries. Skilled at crafting and testing prompts to get the best out of AI models. Able to clean, process, and manage large datasets for training. Great ...

competitive insurance market. Key Responsibilities Maintain and improve the pricing process to meet business requirements. Develop and maintain risk models, leveraging both traditional and machine learning techniques. Support delivery of the pricing & underwriting business plan across Motor. Work with the Data Science and Machine Learning teams … mentor team members, driving a culture of development and excellence across the team. Collaborate with peers in Pricing, Underwriting and Data Science and Machine Learning. Key Skills and Experience Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor ...

love working here: Be part of a growing, forward-thinking Data Insights team Work on high-impact projects using Data Science, Machine Learning, and AI Collaborate with cross-functional stakeholders including Finance, Research, and Operations Opportunities for professional development and mentoring junior analysts Enjoy autonomy and ownership over … assess the impact of business interventions Create compelling storytelling reports and visualizations for technical and non-technical stakeholders Collaborate closely with Data Scientists, Machine Learning Engineers, and cross-functional teams Mentor junior analysts and contribute to continuous improvement of data processes and models Your Experience We are looking ...

Description Senior Machine Learning Engineer - Agentic AI PlatformLocation: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based ...

actionable insights. Overseeing data architecture, tooling, and platforms to support analytics, reporting, and resilience decision-making. Leading advanced data analysis, statistical modelling, and machine learning initiatives to extract insights and improve resilience outcomes. Acting as the key interface between business, risk, and technology, translating complex business challenges into … certifications in Data Science, Analytics, or Risk Management (Preferred). Languages English (Required). Hard Skills Strong expertise in data analytics, statistical modelling, and machine learning techniques (Required). Advanced knowledge of data engineering (ETL/ELT, data pipelines, data integration) (Required). Experience with data visualisation ...

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 ...

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 ...

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 ...

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 ...

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 ...

Bring PhD in Computer Science, Electrical Engineering, or a related discipline. Strong foundation in distributed systems and operating systems principles. Understanding of machine learning infrastructure and large-scale model serving. Experience with systems-level programming in C/C++. Proficiency in Python for experimentation and rapid prototyping. Familiarity … ideas clearly and work effectively in collaborative environments. Doctoral research in distributed systems, large-scale infrastructure, or AI platforms. Contributions to recognised systems or machine learning conferences. Hands-on experience with load balancing, fault tolerance, or cluster scheduling. Exposure to distributed caching, state management, or high-performance cloud ...

enterprise marketing ecosystem. This position operates at the crossroads of marketing, data, and technology, with a strong emphasis on marketing tech data, AI & machine learning, and data workflows. You will play a key role in enhancing platform performance, strengthening integrations, and enabling scalable, data-driven marketing operations. This … sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment Uphold data quality, governance, and compliance standards across all systems Identify opportunities to improve process efficiency, platform ...

Package: £26,000 to £28,000 basic + uncapped commission (Year 1 OTE: £40,000) Company overview: Specialist AI and Machine Learning recruitment firm placing into UK and European tech scale-ups. Established team of 20, generating £3.5m revenue with average fees of £18k. Why join? • Commission … Year 3 £65k • Early exposure to CTOs and Heads of AI • Opportunity to specialise in a fast-evolving market The role: • Recruiting Machine Learning Engineers and Data Scientists • Headhunting talent from leading tech firms and research teams • Managing full recruitment lifecycle • Building relationships with AI leaders and hiring ...

datasets. Responsbilities Working hands-on with macroeconomic and structural models, including those used for forecasting and policy simulation Applying large language models and machine learning to extract insights from economic and financial reports Analysing complex datasets to identify patterns and economic implications Supporting the development of new methodologies … Experience running macroeconomic models and preparing analytical outputs Skilled in working with large datasets and identifying economic trends Familiarity with large language models and machine learning techniques High proficiency in English Must have the right to work in the UK or the US (please note sponsorship ...