26 to 48 of 48 Machine Learning Engineer Jobs in the UK excluding London

Senior Machine Learning Engineer – Fully Remote UK (London) Location: Remote (UK-based preferred) Salary: Up to £120,000 base stock options Type: Permanent | Full-Time Start Date: September 2025 ideally Join a high-growth, AI-first scale-up transforming one of the world’s most document-intensive sectors. Backed by recent multi-million-pound funding and led … by senior technologists from tech unicorns, this is an opportunity to build real-world GenAI products that make a measurable impact. We’re looking for a Senior Machine Learning Engineer to build and deploy production-grade NLP and LLM solutions. You’ll work with high-value, sensitive data and play a key role in the automation of … What You’ll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and compliance teams to deliver real-world results More ❯

MCS Group is working exclusively with a fast-scaling technology company in their search for a Lead Machine Learning Engineer. With significant investment onboard, our client are in scale up mode and plan to double their headcount by the end of this year. This Lead Machine Learning Engineer is a newly created role within the … business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You'll take the lead on designing, building, and deploying ML models at scale-working closely with the senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong … AWS Ability to lead projects, mentor engineers, and drive best practices in ML engineering If you're excited about leading from the front and making a real impact with machine learning, we'd love to hear from you. Salary Circa £85,000 - £95,000 with package which includes equity and private medical. To speak in absolute confidence about More ❯

MCS Group is working exclusively with a fast-scaling technology company in their search for a Lead Machine Learning Engineer. With significant investment onboard, our client are in scale up mode and plan to double their headcount by the end of this year. This Lead Machine Learning Engineer is a newly created role within the … business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You'll take the lead on designing, building, and deploying ML models at scale-working closely with the senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong … AWS Ability to lead projects, mentor engineers, and drive best practices in ML engineering If you're excited about leading from the front and making a real impact with machine learning, we'd love to hear from you. Salary Circa £85,000 - £95,000 with package which includes equity and private medical. To speak in absolute confidence about More ❯

a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We design and deliver machine learning software packages, tools, and reference workloads that help internal teams and partners explore and evaluate the capabilities of upcoming Arm-based platforms. These efforts support early validation … performance analysis, and enablement of advanced workloads targeting machine learning use cases. Responsibilities: We apply our deep software expertise and collaborative spirit to work directly with leading technology companies, shaping the future of compute before silicon even exists. You will play a critical role in enabling and validating software stacks on pre-silicon platforms-including simulators, emulators, and … prototypes-to ensure the seamless deployment of high-performance solutions when silicon arrives.This includes providing architectural design guidance, as well as designing, developing, and deploying machine learning workloads tailored to pre-silicon environments. You will work closely with multi-functional teams to resolve functional bottlenecks and deliver optimized, production-ready solutions. You will be responsible for building proof More ❯

models. This is a greenfield project with significant scope to influence both its technical architecture and product impact from the ground up. We're looking for a hands-on Machine Learning Engineer with deep expertise in building, optimising, and deploying ML systems - particularly in the areas of speech, LLMs, or multimodal learning. You will take cutting-edge … research and turn it into production-ready models, enabling real-time, scalable, and reliable multimodal AI experiences. What You'll Be Doing Building and productising machine learning models for speech-to-text, text-to-speech, and speech-to-speech tasks Translating academic and internal research into scalable, maintainable code and services Developing and maintaining training pipelines, inference services … end-to-end features What We're Looking For Strong engineering background with experience shipping ML systems to production Deep familiarity with speech technologies (ASR, TTS), LLMs, or multimodal machine learning Proficient in Python, with expertise in ML frameworks such as PyTorch Experience building scalable ML pipelines (training, validation, deployment, monitoring) Knowledge of Docker, Kubernetes, and ML deployment More ❯

Machine Learning Operations Engineer Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services More ❯

a Knowledge Transfer Partnership (KTP) project with Fusion21 Ltd. The University of Manchester and Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in Machine Learning and AI who will work alongside an MLOps Software Engineer (KTP Associate) to collaboratively deliver this 24-month project. The project aims to design and deliver … a disruptive technical innovation programme that embeds advanced Machine Learning, AI and software engineering techniques within the procurement process and supports the incorporation of a data-driven AI-enhanced business model and information management framework, supporting the company's strategic vision for digital transformation. Job reference: SAE-028736 Faculty/Organisational Unit: Science and Engineering Employment type: Fixed … include: The position will provide the successful candidate with a unique opportunity to work within a multi-disciplinary team of academics, industry practitioners and another KTP associate, and translate Machine Learning, AI, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or a very strong Masters degree with relevant More ❯

The Central Technology Team within Arm develops key technologies which will form the foundation of future products. You will join a multinational, multifaceted, collaborative and highly motivated Machine Learning Hardware Architecture team in Central Technology to help craft the direction of Machine Learning in Arm IP designs. Job Overview: You will be working on a team … that enables the capabilities of Arm's machine learning accelerators by creating tools that push the limits of the architecture. These tools are used across the architecture group to demonstrate that proposed features are suitable for implementation and can be unlocked by the software teams. Responsibilities: Develop tools that expose proposed hardware features and evaluate the resulting performance. … of computer architecture. Good written and verbal communication skills. Experience developing software interfaces on large projects. Ability to understand accelerator designs. "Nice To Have" Skills and Experience : Familiarity with Machine Learning frameworks. Experience working with architects and modellers to test proposed features. Understanding of memory systems and hierarchy. In Return: You will join an established and experienced team More ❯

What You Will Do Design and implement scalable ML and deep learning models using PyTorch, TensorFlow, Scikit-learn, and other modern frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and … specialized domain applications. Drive innovation in prompt engineering and generation pipelines for AI-assisted systems. Skills and Experience You Will Need Required: 5+ years of hands-on experience in machine learning, with at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge … of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. Working knowledge of CUDA, Nvidia GPUs, and distributed training. Experience with AWS services (S3, Lambda, EC2 More ❯

Job Overview: The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm … experience in developing performance critical kernel on dedicated accelerator, GPU or CPU Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques Overall high-level knowledge of computer architecture, systems, and HW-SW co-design Ability to develop … and work with large software systems in programming languages like Python Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch Willing to learn and train large deep learning models on GPU-based systems Qualities that will help your application stand out: Experience with ML model design, optimization, and HW-SW co-development methodology ML Model More ❯

Transforming the Future with the Convergence of Simulation and Data Senior Software Development Engineer - Statistics and Machine learning Do you like a challenge, are you a complex thinker who likes to solve problems? If so, then you might be the new Altairian we are searching for. At Altair, your curiosity matters. We pride ourselves on a business … impacts company growth. Communication is open and teamwork is encouraged. What You Will Do: Work within the development team to extend and expand upon the extensive statistical, timeseries and machine learning capabilities of the WPS software product. Performance Areas Research existing and emerging approaches for the purpose of data science through the reading and understanding of academic papers … a robust and scalable manner Logical problem-solving approach and the ability to clearly communicate the situation and proposed solution to the wider team Familiarity with statistical, econometric timeseries. machine learning or other mathematical algorithms and their uses Preferred Requirements: Masters or PhD degree in a mathematical discipline A minimum of 6 years of experience in a software More ❯

Control & ML Engineer Paris, France (1/2 days a week remote) CDI, Permanent Position €50k+ 5V Tech is collaborating with a pioneering company at the cutting edge of robotics and medical technology. This fast-growing organisation is developing next-generation wearable devices designed to enhance mobility and independence for individuals with limited movement. They're now looking for … a Control & ML Engineer to join their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control … Training hybrid and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control More ❯

Machine Learning Operations Engineer Department: Vicon Markerless Employment Type: Permanent - Full Time Location: Botley, Oxfordshire Reporting To: Timothy Smith Description Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award-winning company, and the world's largest supplier of precision motion capture and tracking systems? Vicon … and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science. Vicon is a subsidiary of Oxford Metrics Plc. We are looking for an excellent ML Ops Engineer to join our research and development team in Oxford, England. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building More ❯

Technical Support/Graduate IT Enginee r 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Sience, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT … going basis. Must have excellent client facing, problem solving skills, and solid attention to detail. Salary 37-38k. (Training in Software Development, AI technologies, IOT, Contact Centre application, Machine Learning, SaaS, Cloud Applications), and more. Very Much of a Customer facing CX ROLE. Our clients take pride in their core beliefs of teamwork, quality and agility. Time … are looking for new members to continue upholding our beliefs and to catalyse further successes as we expand on a global scale. The Role : Technical Supporting/Graduate IT Engineer Technical problem solving Software/Web Development tools, (University or Commercial or Own Project GIT/GitHub Fact finding Maintaining a commitment to keeping customers informed and build and More ❯

AI/ML Engineer – Permanent, Full-Time – Dundee £30-35K Join a mission-driven tech company at the forefront of sustainable innovation. We’re currently working with a pioneering technology company. They’re on a mission to drive responsible and sustainable practices through cutting-edge solutions, and they’re looking to bring on an AI/ML Engineer … digital journey, with the chance to work across the full product lifecycle and contribute to meaningful, ethical innovation. What You’ll Be Doing Designing, developing, and deploying high-performing machine learning models for computer vision tasks (image classification, object detection, segmentation, video analysis). Conducting data analysis, feature engineering, and model optimisation to ensure top-tier performance. Collaborating … and continuous learning. What We’re Looking For Master’s or PhD in Computer Science, Engineering, or a related field with a strong ML focus. Solid understanding of deep learning architectures (CNNs, RNNs, Transformers). Proficiency in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn. Strong experience with AWS services and cloud-native development. A proactive, collaborative More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … balance among all these constrains? As a member of the CTML Content and Algorithm team, the candidate will play a key role within the Center of Excellence for Machine Learning. They will actively contribute to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us … in computer architecture, basic knowledge of HW and SW design Developing and working with large software systems in programming languages like Python Knowledge of state-of-the-art deep learning libraries such as Tensorflow and Pytorch Training large deep learning models on powerful GPU-based systems, "Nice To Have" Skills and Experience: ML Model Optimization techniques targeted for More ❯

chance to make a significant contribution to projects that push the boundaries of what's possible in computer vision - while enjoying a highly competitive package. As a Computer Vision Engineer, you will play a central role in developing and deploying systems that achieve state-of-the-art accuracy in detection, segmentation, and tracking. You will be working in an … environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and segmentation heads to … science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and More ❯

Responsibilities Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences. Design, develop, and deploy data processing pipelines, machine learning models, and workflows. Collaborate with internal and external partners to deploy and evaluate models and workflows. Champion and coach the team in modern engineering practices. Prepare technical papers and presentations. … in designing, developing, and deploying scientific ML systems with real-world impact. Experience working with cross-functional teams. Experience with major cloud platforms and/or HPC. Preferred: Deep learning experience. Experience with chemoinformatics and computational chemistry. Experience in real-world drug discovery. Proficiency with additional programming languages. Microsoft is an equal opportunity employer. All qualified applicants will receive More ❯

more about the Chin lab achievements here: We recently secured $58 million Series A fundraising. Read more here: What we're looking for: We are looking for an ML engineer to turn prototypes into functional systems. You will build and maintain our codebase, scale training pipelines, and align model with in-house data to develop state-of-the-art … ll teach you the rest Collaborative team player with excellent communication skills Desirable skills: Domain experience in computational biology, particularly genomic language models. Publications or open-source contributions in machine learning or bioinformatics. What's in it for you? Why work at Constructive Bio? We are a small but rapidly growing team, with a vision to become the More ❯

in Python: fine-tune state-of-the-art architectures on our in-house GPU cluster. Orchestrate Workflows with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines. Engineer Cloud Services on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments using GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team we frequently communicate ideas to More ❯

ML Ops Engineer - Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics … includes data acquisition pipelines, data management systems, and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you'll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head More ❯

ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics … includes data acquisition pipelines, data management systems, and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you’ll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head More ❯

We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML More ❯