1 to 25 of 623 Machine Learning Jobs in the South East

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating ...

Robert Walters is exclusively partnering with Connect Managed Services to recruit a Machine Learning Engineer to help design, deploy and scale the next generation of Conversational AI and data analytics platforms. This is a hands-on engineering position sitting at the intersection of Machine Learning, Generative …/or Podman . Practical cloud experience across one or more of AWS, Azure or GCP , ideally using services such as SageMaker, Azure ML or Vertex AI. Experience with CI/CD and MLOps tooling such as GitLab CI, GitHub Actions, Jenkins, Kubeflow or MLflow . Exposure to accelerating Python ...

skills we’re looking for to succeed in the role:** Azure Cloud & AI Platform Expertise: Deep experience and strong understanding of Microsoft Azure (Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such … emphasis on auditability, versioning, and data security. You’ll collaboratively design and implement AI Ops on cloud (Azure). You’ll optimise deployment of ML & AI model scoring code in production services. You’ll use CI/CD pipelines, manage the deployment and version management of large numbers of data ...

2098Position: Machine LearningLocation: Milton KeynesSalary: 65k - 75k per year + packageJob Type: Full TimePosted: 2026-09-14Contact: Margaret PayneEmail: mpayne@thisisnoa.comPhone: 01908 010390Description Machine Learning Engineer Machine Learning Engineer - Remote UK - 75000 We are helping an innovative tech business scale their technology team … Learning Engineer to help bolster their team.This role would suit a Machine Learning Engineer who is already confident working in ML environments, especially with NLP tools.This role is remote within the UK. Their office is based in Milton Keynes - you may need to visit the office ...

Machine Learning Engineer London | Outside IR35 £500-£600 per day The Company They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy across the organisation, with a strong focus on delivering measurable business outcomes through … projects within a modern cloud environment. The Role and Deliverables Design, build, and deploy machine learning models into production environments. Develop scalable ML pipelines to support model training, testing, and monitoring. Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions. Optimise model performance ...

opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make … latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. ...

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment.Engineer and implement ML-based solutions, owning the full lifecycle – from model development and deployment to monitoring and iteration.Deploy models into production environments, handling the integration and operationalisation of ML … support innovation across teams.Communicate findings, recommendations, and model outcomes to both technical and non-technical audiences through visualisation and data storytelling.Research emerging AI/ML techniques to stay ahead of the curve and identify new opportunities to enhance current systems.Ensure all data science and ML practices adhere to relevant ethical ...

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning the full lifecycle from model development and deployment to monitoring and iteration. Deploy models into production environments, handling the integration and operationalisation … ML within wider systems and applications. Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation. Collaborate closely with data analysts, engineers, and other stakeholders to define new tools, enhance workflows, and support innovation across teams. Communicate findings, recommendations, and model outcomes to both technical ...

Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

Lead AI/ML Engineer As a Lead AI/ML Engineer in the leisure, travel & tourism industry, you'll focus on building and deploying machine learning models to drive analytics and decision-making. You'll play a vital role in shaping data-driven strategies that contribute … organisation's success. Client Details Lead AI/ML Engineer Our client is a leading UK organisation undergoing an ambitious data and AI transformation. Operating across multiple locations, they are investing heavily in modern analytics, machine learning and predictive modelling capabilities to support smarter decision-making and long ...

level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across … future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution ...

defining best practices. Working with clients, and cross-functional teams, you’ll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you’ll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML … implementing Faculty’s standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we’re looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like ...

data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: AI/ML Researcher Location: Great Baddow (Hybrid 2/3 days onsite) Who we are Join BAE Systems and youll be part of something bigger. … applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking for an AI/ML researcher to join the Knowledge and Semantics team within our Data and Decision Support Capability You will have the opportunity to work with colleagues across ...

+ £5,000 Car Allowance + Bonus London(Hybrid – 2x Days a Week in Office) If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join … learning models Strong Python skills Experience developing predictive models within commercial environments Experience working with large, complex datasets Experience with cloud-based ML platforms (Azure ML preferred) The ability to communicate technical findings to non-technical stakeholders Experience mentoring or supporting more junior data scientists is advantageous Experience ...

/ML Engineer (Contract) London2 Days in OfficeOutside IR35£400 - £500 Per Day6 months long The Company They are a well-established media business with a strong digital presence and a growing focus on data and AI innovation. Their teams leverage advanced analytics and machine learning to better … experience within the media, publishing, broadcasting, streaming, or digital content sectors is essential. How to Apply If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV. ...

support of the CODAS project and related R&D Lab initiatives. Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‐ready applications. Support the translation of research outputs into robust, maintainable and operationally viable systems. Work with … internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities. Help adapt AI and ML approaches to privacy‐sensitive, security‐conscious and regulated deployment contexts. Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments. Troubleshoot technical, data and integration issues arising ...

convert business ambition into scalable, AI-driven products. Key Responsibilities Leadership & Team Growth: Mentor, scale, and inspire a world-class team of data and ML engineers, instilling high standards for software execution, operational excellence, and continuous growth. Technical Strategy & Architecture: Define and execute the long-term vision for enterprise data … grade data platforms and machine learning solutions that deliver tangible commercial outcomes. Technical Credibility: Strong foundational depth in modern data architecture and ML deployment, with a passion for getting into the engineering details when necessary. Executive Communication: Exceptional ability to translate complex technical concepts into clear, value-driven ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative … environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing ...

people working on them are extraordinary. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work … quality, and responsible AI principles. Experience with automation and analytics tooling - for example Power Platform, Power Automate, or equivalent. Relevant certifications in AI/ML, Power BI or Microsoft Azure is desirable. Knowledge of data science and machine learning is essential. Extensive experience is desirable. Experience working across ...

complex challenges with cutting‐edge technologies. You will work with key client stakeholders to understand business requirements and design solution proposals. You will use machine learning algorithms and other tools to develop and execute data models. You will consult with key internal and external stakeholders to determine … meeting with client stakeholders to discuss their business requirements. Design and implement a data pipeline for processing large datasets. Develop and execute a machine learning model to solve a business problem. Present your findings and recommendations to a variety of audiences. Collaborate with other engineers and data scientists ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

help deliver enterprise AI solutions responsibly, reliably, and securely.ResponsibilitiesResponsibilities & What Type of Work to ExpectSupport the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance.Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation, and implementation.Contribute … understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications.Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when ...

help deliver enterprise AI solutions responsibly, reliably, and securely.ResponsibilitiesResponsibilities & What Type of Work to ExpectSupport the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance.Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation, and implementation.Contribute … understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications.Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when ...