1 to 25 of 866 Machine Learning Jobs in the UK excluding London

data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting … build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems ...

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Evaluating model performance and optimising inference Developing solutions for constrained or secure environments Supporting explainability, safety, and robustness of AI systems Integrating AI/ML components into applications and workflows Designing and implementing retrieval-augmented generation systems Evaluating LLM performance and mitigating failure modes Testing and debugging non-deterministic systems … Understanding of the risks and limitations of AI and where statistical models or deterministic logic would be more appropriate Understanding of core AI/ML concepts such as LLM architectures, ML models, and statistical methods Additional Criteria STEM Degree from a leading university (2:1 or 1st class) Eligibility ...

+ 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 ...

learning solutions, helping organisations turn complex data into intelligent, real-world outcomes. What you'll have the opportunity to do as a Data & ML Engineer Building and maintaining scalable data pipelines that support analytics and machine learning Developing and deploying machine learning models into production … Supporting good engineering practice across testing, automation and deployment Contributing to Agile delivery through teamwork and continuous improvement About the Candidate The right Data & ML Engineer should have: Experience in data engineering, machine learning or applied AI roles Strong skills in Python and SQL, with exposure ...

deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over … time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud ...

machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation … learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial ...

place to do it. An opportunity to play your part The AI Software Engineer is responsible for designing, building and operating artificial intelligence and machine learning solutions that deliver measurable customer and business value. This role focuses on taking AI from experimentation into production, developing reliable, scalable … using tools such as Python, SQL, Spark or similar data processing technologies. Experience deploying and operating AI systems in cloud environments using containerisation, managed ML services or serverless architectures. Understanding of MLOps practices including model versioning, experiment tracking, CI/CD for models and monitoring of model performance and drift. ...

Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas … with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects Generate ideas for new research directions and provide technical leadership in small project groups. Mentor more junior ...

Research Fellow – Machine Learning for Nanoscale Semiconductor Manufacturing Semiconductor fabrication is one of the most complex and precision-driven forms of manufacturing. At nanometre scales, even subtle variations in process conditions can introduce defects that degrade device performance, reduce yield, and drive up production costs. Addressing this challenge … approaches that can capture the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models will enable ...

Machine Learning Engineer - Python & C# - Nottingham/Hybrid 3 month contract initially. - Outside IR35 We're looking for an experienced ML Engineer to join a cutting-edge advanced analytics team developing AI-powered solutions. This role offers the opportunity to work with large-scale real-world datasets including … that deliver actionable operational insights. You’ll collaborate closely with data scientists, software engineers, and domain specialists to develop intelligent analytics platforms leveraging modern ML, MLOps, and generative AI technologies within a highly collaborative engineering environment. Key Responsibilities: Design, develop, and deploy production-grade machine learning solutions ...

Machine Learning Researcher Oxfordshire - Hybrid SRG are working with an early-stage start-up developing a new technology platform utilising ML to identify Protein structures & interactions at scale and boost drug discovery efforts. They are looking to recruit Machine Learning research lead to work alongside … founders and develop ML based analyses, mathematical models pipelines. This is an exciting opportunity to be an integral part of an emerging business, helping to shape the development & implementation of new technologies that have the potential to transform traditional drug discovery efforts. The Role Design and develop machine learning ...

technical direction, shaping strategy, and guiding teams to deliver intelligent, enterprise-grade solutions. What you'll have the opportunity to do as a Data & ML Architect Defining and owning data and machine learning architecture across complex programmes Designing scalable cloud-based data platforms and AI solutions that align … business goals Providing technical leadership across data engineering, ML and analytics delivery Establishing architectural standards around data modelling, governance, quality and security Working closely with senior stakeholders to translate business needs into technical roadmaps Mentoring engineers and architects while promoting best practice and innovation About the Candidate The right Data ...

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows … ML issues in live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex ...

Senior Machine Learning Data Scientist - Credit Risk £80,000-£120,000 + Bonus + Benefits (Flexibility to £150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk … directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability ...

them into scalable production software, rather than purely research-focused individuals. You will work on a broad range of AI challenges spanning multimodal AI, machine learning, computer vision, LLMs, RAG architectures, transformer models, audio processing and intelligent automation features within a highly collaborative engineering environment. Location: Cambridge, UK. … with a minimum 2.1 degree from a leading university Achieved AAA at A Level or international equivalent Commercial experience in software engineering, AI engineering, machine learning or closely related areas Strong programming ability with confidence in quickly learning new technologies and languages. While the role currently uses ...

your opportunity to be part of an innovative company that is revolutionising the way agriculture operates at their UK R&D facility. As a **Machine Learning Engineer - Robotics & Perception**, you will play a pivotal role in developing intelligent systems that are deployed in real-world environments, making … closely with robotics, embedded, and systems engineers to bring cutting-edge vision intelligence into production agricultural environments What You Will Do: - Design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction. - Train and optimise deep neural network models using frameworks such as PyTorch ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … team, with some guidance and direction from seniors. Bring experience in developing and delivering data-centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ ...

machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/… improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. … Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability. Contribute to architecture decisions for ML pipelines and data flows. Apply secure coding and configuration practices in line with compliance standards. Mentor junior engineers and share best practices across the team. Support innovation by researching emerging ML ...

intelligence to build practical, scalable solutions that deliver real business value.You'll collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications that support analytics, automation, and insight generation.This role suits someone who enjoys: Working with modern data … scalable data pipelines, datasets, and data models Support analytics, reporting, and AI-driven use cases Work with both structured and unstructured data sources AI & Machine Learning Develop and deploy machine learning models for: Prediction Classification Automation Insight generation Support the full life cycle from experimentation through ...

just proof-of-concept models Strong hands-on experience using Python as a primary programming language Experience working within Databricks (notebooks, pipelines, or ML workflows) A strong mathematical and statistical background , with confidence in applying theory to real commercial problems Role Overview You will apply advanced data science and machine … roles within a commercial environment Strong proficiency in Python and SQL Hands-on experience with Databricks in a production or enterprise setting Experience with ML pipelines, version control (Git), and CI/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear ...

will play a key part in enabling that shift, ensuring the data platform is structured in a way that supports more advanced analytics and machine learning use cases over time. Data is a critical, funded investment area for the business, with backing already in place and a clear … both regulatory and product needs. As the platform matures, you’ll also help enable more advanced capabilities, including predictive modelling, scenario optimisation, and machine learning use cases, ensuring the data foundations are built to support them properly. What You’ll Be Doing In the early stages ...