1 to 25 of 365 Machine Learning Jobs in the South East

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

Computer Vision Engineer/Machine Learning Engineer required to join an exciting defense-focused start-up manufacturer based in Austin, TX. The successful Computer Vision Engineer/Machine Learning Engineer will ideally have a Master's or PhD in a relevant discipline such as Computer Science or a related field. Package $110,000 - $220,000 Equity … Package Health, Dental, Vision Insurance Paid Time Off Computer Vision Engineer/Machine Learning Engineer Responsibilities: Spearhead the creation and refinement of computer vision algorithms for autonomous gun turret systems, with a primary focus on real-time drone detection, tracking, and classification. Develop and implement machine learning models optimized for performance in resource-constrained environments, delivering … hardware architecture. Perform comprehensive testing and validation of algorithms across diverse environmental conditions to ensure their robustness and reliability. Provide mentorship and leadership to junior engineers, fostering expertise in machine learning and computer vision throughout the team. Facilitate the progression from prototype designs to military-grade autonomous turrets, contributing to the development of system variants tailored for different More ❯

and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based Machine Learning Development * Collaborate with domain experts and analysts to design and … implement machine learning models that predict key outcomes such as life expectancy, investment return scenarios, and financial risks.* Deploy and manage ML solutions using Azure Machine Learning (Azure ML), covering training, testing, and deployment to production.* Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps … Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools.* Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment.* Monitor production ML systems for performance, data drift, and anomalies using Azure Monitor or other observability tools.* Schedule and automate model retraining pipelines More ❯

Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary team, youll help shape next-generation tools across areas such as multi-modal … impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement, and evaluate ML models for structured and unstructured data Contribute to R&D proposals, technical reports, and demonstrator systems Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation … Support mentoring and knowledge sharing within the wider AI/ML group About You PhD or Masters degree in Computer Science, Machine Learning, Data Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise More ❯

Social network you want to login/join with: ML Operations Engineer II (Viator), Oxford col-narrow-left Client: Location: Oxford, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: adae2754f7c6 Job Views: 3 Posted: 12.07.2025 Expiry Date: 26.08.2025 col-wide Job Description: About Viator Viator, a Tripadvisor company, is the leading marketplace for … mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration More ❯

mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration … and real-time model needs, ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices, database, big data processing, operations More ❯

Senior Research Scientist (Data Science & ML) £60,000 - 70,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Data Science and Machine Learning Research Scientist Location: Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research … Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary team, you'll help shape next-generation tools across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity You'll join a 35+ person AI & Machine Learning capability … impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement, and evaluate ML models for structured and unstructured data Contribute to R&D proposals, technical reports, and demonstrator systems Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation More ❯

Postdoc at Oxford: Machine Learning & Global Health Date: Jan 11, 2023 We are hiring a postdoctoral researcher to join my group in the Department of Computer Science at Oxford, working with the Machine Learning & Global Health network on machine learning applications for public policy and global health. This position is funded by EPSRC. For … more details, see this link . The role involves leading research in computational statistics and machine learning, with the goal of making a tangible impact by collaborating with governments, NGOs, and international organizations. Recent publications from the group include: List of publications or specify if unavailable If you have any questions, please contact me directly or reach out … to members of the Machine Learning & Global Health Network . More ❯

Senior AI/ML Research Scientist - Data Science and Machine Learning £60,000 - 70,000 GBP + Bonus & Package Onsite WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Senior AI/ML Research Scientist - Data Science and Machine Learning Location: Chelmsford, UK (with flexible UK-wide options) Job Type: Full-time Permanent Security Clearance … Must be eligible for UK security clearance Overview: A leading technology and innovation consultancy is looking for a Senior AI/ML Research Scientist to join its growing Data and Decision Support capability. This role focuses on developing advanced algorithms and machine learning solutions for sequential (time-series) data , including sensor signals, RF, radar, sonar, and related applications. … You'll work at the forefront of AI/ML innovation , contributing to real-world projects in defence, security, space, and commercial sectors. Collaborating in multi-disciplinary teams, you'll help drive applied research, develop prototypes, and mentor junior researchers. Key Responsibilities: Lead delivery of technical research projects, supporting junior researchers and producing high-quality reports, proposals, and demonstrators Conduct More ❯

including facilitating & supporting the transition to net zero, assisting the delivery of the ED2 (Electricity Distribution 2) agreed business plan, driving efficiency savings via the use of automation/machine learning & insight & building market leading machine learning technology solutions to drive best in class service to our customers. We are looking for a Senior Data Scientist … to help to drive innovation and the usage of machine learning technology to support key business use cases, leveraging the Azure platform, Python, Spark, GenAI/LLMs, Databricks, SQL, DevOps & geospatial data knowledge to create end to end products to support key products. Ideally, you'll have experience from within the energy industry. You will - Support the creation … adoption of data & AI products across the wider SSEN business, ranging from traditional machine learning, generative AI, advanced analysis & statistics. - Work closely with business stakeholders to create high impact, value returning products to impact on key business metrics. - Create sustainable cost optimised solutions (FinOps) & working with our data quality/governance teams & ensuring compliance to data security, GDPR More ❯

edge machine learning capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure … primarily using AWS. You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects. This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours. Key Responsibilities Maintain and improve ML Ops infrastructure Manage … on premise Kubernetes clusters and ML pipelines Integrate ML toolkits into operational workflows Collaborate with ML developers to streamline workflows Suggest and implement technical improvements and new tools Required Skills and Experience Academic background (research Masters level) or industry experience in a relevant field Strong experience managing on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as More ❯

edge machine learning capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure … primarily using AWS. You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects. This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours. Key Responsibilities Maintain and improve ML Ops infrastructure Manage … on premise Kubernetes clusters and ML pipelines Integrate ML toolkits into operational workflows Collaborate with ML developers to streamline workflows Suggest and implement technical improvements and new tools Required Skills and Experience Academic background (research Masters level) or industry experience in a relevant field Strong experience managing on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as More ❯

Senior Research Scientist - Data Science & Machine Learning £70000 GBP 10 Bonus + Benefits Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Role: Senior Research Scientist - Data Science & Machine Learning Location: Chelmsford (Hybrid: 2 days onsite, 3 remote) Salary: £60,000 - £70,000 + 10% bonus Hours: Full-time, 37 hours/week Join … a world-class research and technology organisation that's redefining what's possible in AI, machine learning, and advanced data science. With a mission rooted in solving some of the most complex and high-stakes challenges in national security, defence, and critical infrastructure, this organisation offers a unique opportunity to apply your expertise where it truly matters. This … and/or patent novel research outcomes , contributing to academic journals, conferences, or intellectual property portfolios where appropriate. What You'll Bring: PhD or equivalent experience in Artificial Intelligence, Machine Learning, or statistical signal processing. Proficient in Python , with strong development skills and hands-on experience using machine learning libraries such as PyTorch and scikit-learn. More ❯

to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do … learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML … powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues More ❯

a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or … Applied Scientist in the Machine Learning Observability & Governance team, you will be instrumental in advancing Starling Bank's capabilities in safely and effectively exploiting AI and ML technologies. Your responsibilities will include: Pioneering Novel Methods: Lead the development and implementation of innovative research-driven methods to deepen our understanding of AI and ML model behaviour in a … externally (e.g., at conferences or through publications), to share advancements and foster a culture of continuous learning within the data practice. Collaborative Innovation: Work closely with data scientists, ML engineers, and other stakeholders to identify key challenges in ML observability and governance, and propose research-backed solutions. To succeed in this role, you should possess a strong academic foundation More ❯

Role : Project Manager – AI & Machine Learning Research Location: London, UK- Hybrid role Duration: 5 Months … Possible extension) We're seeking a Project Manager to support a high-impact, multidisciplinary AI research team working at the frontier of machine learning , generative AI , and ML agents . In this role, you’ll bring structure to complex technical initiatives, coordinate across diverse teams, and help ensure the success of innovative research programs that shape the future … Coordinate third-party dataset approvals, project reporting, and research documentation Facilitate communication across engineering, product, legal, and other cross-functional teams Lead project planning sessions and track milestones for ML agent-based research initiatives Provide visibility into progress using data-driven updates, risk tracking, and mitigation strategies Align project goals with team and organizational strategy, ensuring all stakeholders are informed More ❯

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to More ❯

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge. This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the … you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies. Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at top international conferences (CVPR, ICCV, ECCV … regressive models) Efficient architectures for deployment Model compression (quantization, distillation) Efficient adaptation of large models What We're Looking For: Proven research experience in Computer Vision and/or Machine Learning Strong knowledge of deep learning frameworks (e.G. PyTorch) A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.) Excellent communication and collaboration More ❯

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge. This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the … you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies. Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at top international conferences (CVPR, ICCV, ECCV … regressive models) Efficient architectures for deployment Model compression (quantization, distillation) Efficient adaptation of large models What We're Looking For: Proven research experience in Computer Vision and/or Machine Learning Strong knowledge of deep learning frameworks (e.G. PyTorch) A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.) Excellent communication and collaboration More ❯

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge. This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the … you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies. Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at top international conferences (CVPR, ICCV, ECCV … regressive models) Efficient architectures for deployment Model compression (quantization, distillation) Efficient adaptation of large models What We're Looking For: Proven research experience in Computer Vision and/or Machine Learning Strong knowledge of deep learning frameworks (e.G. PyTorch) A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.) Excellent communication and collaboration More ❯

Scientist in the Market Pricing team, you will be reporting to the Head of Market Pricing, working closely with the Home Underwriting team, Home Retail Pricing team, Data and ML Engineering teams. You will play a pivotal role in the development and deployment of machine learning models and data science solutions to extract the crucial predictive insight that … guidance and tooling to benefit the wider Pricing, Data and Analytics community and support data-driven innovation. Key Responsibilities Developing, analysing, and overseeing the implementation of advanced statistical and machine learning models into live pricing. Stretching the team's capabilities in Artificial Intelligence, Machine Learning and use of Cloud technologies. Working cross-functionally with the wider … software development best practices. Engaging commercial stakeholders to gather detailed business requirements and coordinating project activities. Essential skills/experience: Proven track record of delivering commercial value using supervised machine learning techniques. Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn) Advanced knowledge of data science technologies including tooling and platforms. More ❯

Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292 My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team. This is an exceptional opportunity to work on breakthrough innovations that … datasets to identify key traits that can drive the development of high-performing, climate-resilient crops. You'll also have the opportunity to apply cutting-edge tools such as machine learning and AI and work collaboratively with experimental biologists to turn genomic insights into real-world agricultural impact. The Company This dynamic and well-funded Oxford University spin … experience Experience designing and developing NGS pipelines for the analysis of non-model species, if this has been within plants even better Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you'd More ❯

Assurance organization has the mission to make application security and software assurance, at scale, a reality. We are an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems … Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Principal Data Scientist, you will work closely with the technical, engineering and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for working on innovative projects for the team, collaborating … collaborate with other experienced technical professionals. What we offer Being part of one of the most strategic departments of Oracle, cooperating with an international team of data science and ML experts with diverse backgrounds worldwide. Opportunities for career growth and technical leadership Exposure to cutting edge applications of AI/ML and the opportunity to work with research teams on More ❯

eligibility highly desirable Work Pattern: Full-time (37 hours/week) | Hybrid | Flexible Interview Process: One-stage, face-to-face with technical presentation Are you an experienced AI/ML researcher with a passion for applying cutting-edge techniques to real-world, high-impact challenges? Do you thrive in intellectually rigorous, collaborative environments where your research leads to operational outcomes … of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high … trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and More ❯

eligibility highly desirable Work Pattern: Full-time (37 hours/week) | Hybrid | Flexible Interview Process: One-stage, face-to-face with technical presentation Are you an experienced AI/ML researcher with a passion for applying cutting-edge techniques to real-world, high-impact challenges? Do you thrive in intellectually rigorous, collaborative environments where your research leads to operational outcomes … of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high … trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and More ❯