1 to 25 of 102 Machine Learning Jobs in Somerset

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting … problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development … essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As … a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop … and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. More ❯

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development … lifecycle, from data preprocessing to model deployment. Duties and Responsibilities Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. … learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such as DevOps/Git. Soft Skills: Problem Solving: Strong analytical and problem-solving More ❯

An exciting opportunity for a Machine Learning Engineer has arisen with a pioneering deep-tech startup at the forefront of sensor technology innovation, based in Bristol. This is a great opportunity for a Machine Learning Engineer to push the boundaries of silicon photonics and MEMS design. … hybrid working model, required onsite at least 3 days a week. Experience for the Machine Learning Engineer includes: Experience developing and deploying ML models for optimisation or simulation Proficiency in Python and ML frameworks (TensorFlow, PyTorch) Bonus: Cloud platforms (AWS, GCP, Azure) If you are a Machine Learning Engineer looking for an exciting challenge in a fast-paced, collaborative start-up environment, then please apply today to learn more. More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Diffusion models in molecular design Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . More ❯

in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI Adept at applying advanced deep learning techniques in practical scenarios Well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical … your skill set within a dynamic and supportive environment Work with Big Data solutions and advanced data tools in cloud platforms Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights Lead teams of data scientists and software engineers to successful project execution TOGETHER … WE WILL Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments Drive innovation in the realm of Generative AI and Language Models contributing to groundbreaking projects that redefine AI More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

Remote Up to £65,000 We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation … eager to make a significant impact in a cutting-edge environment. As a Pricing Data Scientist, you will play a crucial role in leveraging machine learning techniques to refine pricing strategies and improve … business outcomes. You will work closely with engineers and analysts to implement scalable pricing solutions and continuously monitor performance. Key Responsibilities Develop and refine ML-driven pricing models to enhance risk assessment and profitability. Apply advanced statistical and machine learning techniques to optimize pricing accuracy. Automate and streamline More ❯

Staff AI/ML Engineer Location: Remote (UK) Employment Type: Full-time About the Company: A fast-growing, innovation-led software business delivering specialised tools for professionals in the built environment sector. With two decades of success and a strong global customer base, their vision is to enable better visual … storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI …/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather than More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients? This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate design, build and deliver … support for this Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps and Devops. You will be working with the latest technology on highly … visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases More ❯

Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & Machine Learning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a leading Data … automation, and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science within … desirable. Why Apply? 🚀 Impactful Role – Shape the AI & Data Science strategy for a major government SaaS client. 💡 Cutting-Edge AI – Work with Azure AI & ML technologies in a Microsoft enterprise environment. 🏡 Flexible Working – Hybrid role with a mix of remote and on-site work in Somerset. 📈 High-Profile Exposure – Work More ❯

Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

senior engineers and consultants to contribute to proofs of concept, pilots, and production projects Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document … Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear … Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES & SKILLS: Growth mindset – actively seeks opportunities to learn and improve Team collaboration – works well within delivery More ❯

healthcare, manufacturing and agriculture. Working cross-functionally in this fast-growing startup, you will have a unique opportunity to develop first-class AI and ML products and solutions and join a business at an exciting stage of growth as they prepare to scale. You should consider this opportunity if the … entails over a job in a large corporation ✔️ You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Maintain Machine Learning products Help shape the data science team as it scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning More ❯

Senior Machine Learning Engineer | Remote (UK) + Occasional Bedford Office | £65–80k + Bonus & Benefits 💥 We’re hiring for a UK tech company that … s doing seriously smart work in low-code, automation, and AI. Their AI team is growing fast, and they’re looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI … AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that actually ship Mix of hands-on ML, infrastructure, and product input Remote-first with flexibility and a solid team culture It’s a remote-first setup (occasional office visits), with a clear More ❯

Responsibilities: Formulate business problems and strategic objectives into data science projects. Utilize company's data to build the appropriate solutions using statistical heuristics and machine learning. Design the best approach to solve business problems by achieving the required accuracy and meeting time constraints. Identify the best evaluation metrics for … each solution. Support the business by answering complex questions using advanced analytics. Build scalable machine learning pipelines that will be deployed in production. Perform exploratory data analysis to uncover hidden insights. Design and run experiments for hypothesis testing and analyze its results. Qualifications: Bachelor degree in quantitative field. … 3+ Years of experience in similar role. Experience in developing various machine learning and deep learning solutions including time series analysis, classification, regression, clustering, etc Proficiency and demonstrated experience in Python data stack libraries. Proficiency and demonstrated experience in SQL. Excellent written and verbal communication skills. More ❯

Problem-Solving: Strong problem-solving skills and attention to detail. Teamwork: Excellent communication and collaboration abilities. Cloud Solutions: Experience with cloud-based GIS solutions. Machine Learning: Knowledge of machine learning applications for geospatial data. DevOps: Familiarity with DevOps practices and CI/CD pipeline What we More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯

biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software. What … ll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. This role combines … classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, you’ll be the go-to person. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments More ❯

with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive … quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross … skill in AI and contribute to a culture of learning, excellence, and collaboration. Teammates’ benefits : Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Teammate recognition scheme Loyalty award scheme 24/7 access to EAP More ❯

enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and audience insights. Design AI-driven marketing tools, customer segmentation models, and automated A/B testing … frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL, Hadoop, Spark). Experience with machine learning techniques, including NLP, recommendation algorithms, and computer vision. Familiarity with cloud platforms (Azure) for deploying AI solutions . Strong problem-solving skills More ❯

of three engineers and collaborating with the data science and application teams. In this role, you will help build and improve the data and machine learning infrastructure supporting our R&D and production platforms of high-impact tools and products for global climate law and policy, already serving … processing Experience in at least one area of data science we work on: knowledge graphs, information retrieval, text classification, generative AI Experience working with machine learning models in production systems Experience using and maintaining cloud infrastructure Experience with DevOps/infrastructure/SRE, tools used for automation, CI More ❯

focused on bringing digital innovation to the sector through advanced data and software solutions . You will join a collaborative team of software engineers, machine learning scientists, and UX/UI designers, working on the buildout of transformative data-driven products. Key Responsibilities: Architect, build, and maintain efficient … cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open-source contributions, blogs More ❯