51 to 75 of 2,360 Machine Learning Jobs in the UK excluding London

turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation … and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code … PhD in related subjects Extensive machine learning research background and experiences Academic publications in machine learning related conferences or journals ML product development experiences for content discovery on large scale customer-facing clients/devices Team overview Global Product We're the Global Product. We're More ❯

The Francis Crick have an exciting opportunity available for a Machine Learning Engineer???? to join one of the world's leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full … and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Machine Learning Engineer role: The role will be placed in the Software Engineering and AI facility and will support the MANIFEST research platform led … project Stay current with the latest thinking in the field through building a library of related publications Develop approaches to evaluate the performance of ML models in relation to project objectives Design and develop high-quality, optimised and maintainable pipelines and software to meet project needs Work in close collaboration More ❯

At Speechmatics, we are searching for a Director of Machine Learning to help us push the boundaries of applied AI and transform how the world interacts with voice technology. As pioneers in machine learning for speech, our mission is to Understand Every Voice-a vision that … steer our innovation in Conversational AI and guide us on the path to achieving and surpassing the "Speech-first Turing Test." As Director of ML, this is your chance to make an impact on a global scale. You will lead and inspire world-class teams of researchers and machine learning engineers, driving breakthroughs that will shape the future of AI-driven speech technology. What you'll be doing: Shape and articulate a forward-looking vision for Machine Learning at Speechmatics, aligning research priorities with our ambitious product roadmap. Identify and execute high-impact research opportunities More ❯

Machine Learning Engineer - Health Tech Start Up We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are revolutionary within their field right now. As a Machine Learning Engineer, you will play a … in architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users. Machine Learning Engineer Skills: 3+ years experience in a similar role Demonstrable experience in cloud (ideally AWS) Strong Python Programming A deep understanding of … designing and implementing complex algorithms, data science and machine learning Confident in working in a fast paced environment and looking to take ownership over features Machine Learning Engineer Benefits: Flexible working Private health insurance Regular salary reviews Pension scheme Brand new Macbook, a running watch of More ❯

projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature). Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and … They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess … in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast More ❯

work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. Our Data Science team uses data and machine learning to proactively monitor online advertising and is responsible for our Active Ad Monitoring system, which captures and processes more than 3 million … will work primarily in Python to perform analysis to extract insight about prevalence of potential issues and help inform priorities. You will also train machine learning models and use LLM-based tools to filter large volumes of ads to find those that are relevant, or that break the … As part of a developing team, you will have the chance to help shape our approach and ultimately the way data-led insight and machine learning is used to regulate advertising. Candidates must be able to work with data in Python, and have an understanding of statistical concepts More ❯

projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature). Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and … They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess … in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast More ❯

Job Title: Research Scientist - AI & ML BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. More ❯

Hours: Full time Reports to: Defect Detection Team Lead Location: Exeter or Bristol, minimum of 3 days in the office. Role Overview: As a Machine Learning Engineer at DeGould you will be responsible for building and maintaining our labelling, training and production inference data pipelines to produce high … models and services to power our automated vehicle inspection product. Following MLOps and DevOps best practices you will build and deploy bespoke computer vision ML models using a service-oriented architecture in AWS, GCP and on Edge to process photos from DeGould's ultra high-resolution imaging photo booths. The … learning, machine learning, transfer learning, CNNs and transformers, such as Detectron, ConvNext, DETR, DINO or similar. Technical knowledge of relevant ML performance metrics and how to apply them to monitor models. Strong knowledge of Python (such as numpy, pandas, matplotlib, streamlit, and opencv). Strong knowledge More ❯

environment that encourages equality, innovation, and professional growth. Our client is a cutting-edge biotech company based in Cambridge, UK, leveraging artificial intelligence and machine learning to revolutionize drug discovery and therapeutic development. They are at the forefront of integrating computational approaches with biological systems to accelerate research … Interpret and visualize AI-driven predictions to guide experimental design and decision-making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation. Requirements PhD or MSc in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or … particularly in deep learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. Experience working with large-scale datasets More ❯

Machine Learning Engineer (Contract) - £550/£600 PD (Inside IR35) An excellent opportunity has arisen with a global brand for a Contract Machine Learning Engineer. This role focuses on natural language processing and network analysis, leveraging open-source software in a highly collaborative environment. You'll … contribute to building, maintaining, and enhancing their data science capabilities within the organization. Role and Responsibilities: Design, develop, and evaluate machine learning models, with a focus on natural language processing Translate business challenges into data science solutions and communicate complex findings to stakeholders Collaborate in a cross-functional … team by sharing ideas, conducting code reviews, and enhancing internal data science tools Identify opportunities where machine learning can support data-driven decision making Foster a diverse and inclusive culture by working across departments and contributing to knowledge sharing Essential Skills & Experience: Strong proficiency in Python and Graph More ❯

the energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT & Digital department. This … Participate in code reviews to help improve code quality. Technologies/Tools we use: Python, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, SQL, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs. About You Hands-on industry experience in some combination … of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following technologies: Python More ❯

Senior Machine Learning Engineer London (Hybrid) Very Competitive Salary, Bonus, Equity Our client, an innovative and rapidly expanding scale-up looking for a talented Machine Learning Engineer to join their team in London. This is an exciting opportunity to work on transformative AI-driven products in … a dynamic environment backed by significant investment. Key Responsibilities: Develop and deploy machine learning models for real-world applications. … Collaborate with cross-functional teams to define product requirements and integrate models into production systems. Work with large datasets to build scalable and efficient ML solutions. Conduct experiments, evaluate models, and continuously improve performance. Requirements: Education : BSc, MSc, or PhD in Computer Science, AI, Mathematics, or related field from a More ❯

Software Engineer, AI Labs, Vice President About this role Senior Software Engineer - Machine Learning AI Labs Overview: Since our founding over 30 years ago, BlackRock has brought together great minds to drive innovation. From the beginning, we have been demonstrating technology for insight and efficiency to make our … central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in data science, machine learning, generative AI, optimization, stochastic control and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. The … distributed environments. Enforce high-quality patterns and practices for maintaining model pipelines. Requirements 7+ years in software engineering, with 3+ years in API-backed ML deployment. Strong programming language skills in Python. Significant experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization More ❯

Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning products from conception to deployment? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product deployments … passionate about developing technology that will change paradigms and contribute to a sustainable future. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI … and any legal or ethical considerations – and then taking these products from conception to deployment. This will require strong software engineering expertise and excellent machine learning proficiency. The ideal candidate brings not just technical skills, but an intellectual curiosity and eagerness to expand their knowledge across diverse technical More ❯

making cutting-edge tools accessible and enabling users to bring their boldest ideas to life with speed and precision. Role Overview As our Senior Machine Learning Researcher, you will play a key role in advancing our AI capabilities. You will keep pace with cutting-edge developments in the … AI and machine learning space, evaluating the latest research papers to identify what can be integrated into our product. Additionally, you will develop proprietary models and improved techniques as proof-of-concepts, pushing the boundaries of what's possible in our product. This role demands an advanced knowledge … of deep learning, latent diffusion, and the use of conditioning models, with a focus on practical application in the context of our product. Key Responsibilities Staying updated with recent advancements in machine learning and AI research, focusing on innovations relevant to image generation, rendering, and computer vision. More ❯

and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions Shape the strategic direction of the ML team, driving innovation in AI-powered drug development Collaborate with senior leadership to align ML research with company goals and objectives Guide the development of … with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications and … contributions to top ML conferences (NeurIPS, ICML) Excellent communication skills, with the ability to represent technical expertise to both technical and non-technical stakeholders If you fit the bill and are interested, please apply with an updated CV More ❯

University Assistant Professor in Machine Learning 2025-02-26 Cambridge The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd … and 4th-year modules in machine learning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to the research and teaching within Information Engineering. Assistant Professors are expected to develop their own research portfolio … undergraduate course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machine learning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning More ❯

Permanent £55,000 - £85,000 Hybrid Cambridgeshire, United Kingdom Updated on: 14-04-2025 ROLE OVERVIEW: We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be … responsible for driving the development of innovative machine learning methods for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. Develop and extend AI approaches that integrate structural and chemical data … industry experience in machine learning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques More ❯

advance the organization’s goals. Plan, build, and evaluate machine learning pipelines for small molecule drug discovery, including the development of novel ML architectures. Train and assess ML-based interatomic potentials and integrate them with biomolecular simulation tools. Collaborate closely with team members in biomolecular simulation and computational … in drug discovery. Requirements PhD or postdoctoral experience in computational chemistry, molecular physics/engineering, computer science, or a related discipline with a strong ML for science focus; OR a Master’s degree plus 3+ years of relevant industry experience. Demonstrated track record in developing machine learning models … and graph neural networks for 3D atomic systems. Experience working with machine-learned potential energy surfaces. Proficiency with ML frameworks such as PyTorch or JAX. Strong background in scientific programming using Python. Excellent communication skills in English. Experience working in interdisciplinary scientific environments. Desirable Skills Experience curating quantum mechanics More ❯

Machine Learning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a Machine Learning Engineer (£475,000-£515,000) who is happy to work at the interface of cutting edge Machine Learning … the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine … Additionally, the candidate should be proficient in GPU programming for training and inference acceleration. They should also have experience with distributed training for scaling ML workloads, utilizing tools like Horovod. If this sounds interesting and applicable to your skillset, please apply or email a.cahill@gcstechtalent.com More ❯

Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and More ❯

play a crucial role in maturing and scaling our machine learning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machine learning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯

be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. … a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress … skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products More ❯

Machine Learning Researcher - LLM/VLM Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge … As a Machine Learning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices. Design and develop groundbreaking … Machine Learning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years More ❯