1 to 25 of 104 Remote/Hybrid Machine Learning Jobs in the South East

Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical … hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning ...

Senior Machine Learning Scientist London (Remote) The Company They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations extract meaningful insights from large volumes of unstructured data. Their environment combines research, experimentation, and product development, giving technical … teams the opportunity to work on real-world AI challenges while delivering measurable business impact. The Role Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end. Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents ...

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 ...

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 you'll 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 ...

combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows … ML issues in live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex ...

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 ...

innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. We are looking for a hands‐on Machine Learning Engineer to design, develop and evaluate intelligent agent systems, turning emerging AI methods into reliable, scalable and reusable solutions for truly real … world data. About the Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and develop single-agent and multi-agent systems for complex workflows. Build ...

Role Research Engineer Salary Competitive Contract Perm Location Oxford The Role As our Research Engineer, you will sit at the boundary between frontier machine‐learning research and shipped product. You will take ideas from the research edge, reinforcement learning, RLHF, multi‐objective policy optimisation and LLM post … customers depend on, while connecting that research to OD’s product vision and to what our customers actually need. Responsibilities Apply and adapt machine‐learning and reinforcement‐learning research to OD’s product roadmap, translating research direction into shippable capability. Design, train and evaluate models using reinforcement ...

expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong software engineering fundamentals, hands … data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

leading machine-learning software company in Cambridge is seeking a Machine Learning Research Engineer to investigate new concepts in machine learning, particularly focusing on Natural Language Processing (NLP) and large language models (LLMs). The ideal candidate will possess a Ph.D. and a strong … background in classic machine learning as well as practical experience with Python frameworks like PyTorch and TensorFlow. This position offers a competitive salary and a blend of office and remote work. #J-18808-Ljbffr ...

complex datasets, they offer an environment where experimentation, collaboration, and technical excellence are encouraged. The Role Design, build and deploy scalable AI and machine learning solutions, taking projects from concept through to production. Develop AI-powered applications using Generative AI, Large Language Models and orchestration frameworks. Write high … solutions. Monitor, evaluate and improve deployed models while ensuring responsible, secure and reliable AI deployment. Your Skills & Experience Strong commercial experience in AI engineering, machine learning engineering or software engineering with applied AI. Proven experience building and deploying Generative AI applications using LLMs and orchestration frameworks. Strong Python ...

powered by extensive commercial data assets. With continued investment in cloud technologies and advanced analytics, they are building the next generation of AI and machine learning capabilities. You will join a collaborative environment that values technical excellence, innovation, and commercial impact. The Role and Deliverables Develop predictive models … commercial datasets. Prepare, audit, cleanse, and analyse complex credit and business data to generate actionable insights. Design and optimise scalable data pipelines to support machine learning and analytics workflows. Partner with business stakeholders to translate commercial and risk challenges into data-driven solutions. Communicate analytical findings through clear ...

Founding Machine Learning Engineer, Robot Learning United Kingdom (Remote) Founding ML Engineer, Robot Learning (UK Remote, pre seed robotics) KEY POINTS Three month full time contract from 7 September through to a November investor demo, converting to the permanent founding role on a successful seed raise … compute provided, with a live demo in front of investors in November and a priced seed round planned after. THE ROLE, FOUNDING ML ENGINEER You would own the learning stack. Motion retargeting is the critical path, taking captured human demonstrations and turning them into a policy that runs ...

What you'll do Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … Publish, contributing to papers, technical reports, and conference talks that put the Lab's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. What ...

will help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing and real-time inference workloads. Key Responsibilities Deploy and manage ML models in production using Azure Machine Learning. Design and maintain Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines … ML artefacts. Implement monitoring, logging, security, and governance controls. Manage data pipelines, storage solutions, data versioning, and lineage tracking. Support real-time inference and scalable ML workloads, including auto-scaling. Collaborate with technical and business stakeholders to optimise model performance and platform reliability. Produce and maintain technical documentation. Skills & Experience ...

solutions that enable analytics, automation, and AI-driven business outcomes. Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads. Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards. Collaborate with stakeholders and technical teams to promote … best practices in SQL, Python, data modelling, and AI development. Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices. Unfortunately we are unable to progress ...

with leading organisations worldwide to support strategic decision-making in complex and evolving markets. Description Design, develop and deploy production-grade data science and machine learning solutions. Own the full delivery lifecycle from concept, data acquisition and modelling through to deployment and operational support. Build robust, scalable … technical stakeholders. Support ongoing enhancement of production systems, ensuring governance, reproducibility and operational resilience. Profile Minimum 7 years' commercial experience in Data Science, Machine Learning or Quantitative Development. Strong Python development skills with experience building production-ready applications. Proven experience delivering analytical solutions into live production environments. Strong ...

safely and efficiently into production. This is a key operational, technical and leadership role at the intersection of science, software engineering, high-performance computing, machine learning and 24/7 operational delivery. You will provide technical and people leadership for the team responsible for ensuring that ECMWF … dissemination steps are aligned and robust. It oversees workflows used to produce operational weather forecasts from medium‐range to seasonal timescales, as well as machine‐learning‐enabled forecasts, Copernicus climate reanalyses and atmospheric composition services and Destination Earth Digital Twins. It also monitors the performance of operational suites ...

fully remote for the right person The role This is a genuine dual role: real line management and delivery leadership across the Lab's ML engineering function, plus a meaningful hands-on contribution to technical delivery yourself. You'll manage a growing team of ML Engineers and Scientists, shape ML … stay close enough to the work to actually lead it technically, not just report on it. What you'll do Line-manage and develop ML engineers: coaching, mentoring, feedback, and input into hiring and onboarding. Stay hands-on with technical delivery on selected projects, alongside your leadership responsibilities across multiple ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

governance, security and quality standards. Leading and mentoring a team of Data Engineers. Collaborating with Data Scientists, Analysts and Product teams to support analytics, machine learning and AI initiatives. Driving platform performance, scalability and cloud cost optimisation. What's On Offer? Salary up to £110,000. Hybrid working … ownership of a modern Databricks platform. Opportunity to influence architecture, tooling and engineering standards. Leadership responsibilities with a growing engineering team. Exposure to AI, machine learning and large-scale data initiatives. Key Experience Required Proven experience as a Senior or Lead Data Engineer. Deep expertise in Databricks, Spark ...