1 to 25 of 351 Machine Learning Jobs in the South East

to support high-throughput inference and real-time model serving capabilities Architect infrastructure for agentic systems, including multi-agent coordination, workflow orchestration, and autonomous decision-making pipelines Partner with ML teams actively developing models to onboard them to platform capabilities Continuously optimize the platform to support our emerging machine learning research capabilities and evolving use case needs Build … and maintain orchestration frameworks for complex ML workflows, including agent-based systems and multi-modal model pipelines Inspire your team and stakeholders alike to find the best outcome by facilitating constructive dialogue, reconciling perspectives into a unified view Create tools and experiences that support the development of models -- however you won't be responsible for building machine learning models The Team You'll Join The ML Infra team vision is to build and maintain a centralized platform composed of best-in-class tooling for machine learning, including intelligent agentic orchestration and LLM-powered capabilities. We strive to make machine learning easy and accessible across the organization by offering low barrier-to-entry solutions More ❯

hours and opportunities to contribute to frontier AI evaluation and research. Key Responsibilities Evaluate and compare AI-generated research plans for clarity, feasibility, and technical soundness. Design and compile ML tasks based on real-world challenges and research competitions. Draft detailed, executable natural language plans for machine learning workflows. Implement and validate research plans in Python within a … concise, objective feedback. Ideal Qualifications 5+ years of experience in applied machine learning or a PhD in machine learning or related fields. Strong understanding of ML research methodologies, experimental design, and evaluation practices. Excellent analytical and technical writing skills. Experience with reproducibility or benchmarking in ML research preferred. Detail-oriented and able to deliver high-quality …/hour Payment: Weekly via Stripe Connect Contract Type: Independent contractor engagement Structure: Remote, milestone-based evaluation with flexible scheduling Application Process Submit your resume or CV highlighting relevant ML research or engineering experience. Complete a short AI-based interview and a brief questionnaire about your experience with reproducibility and model benchmarking. Selected candidates will receive detailed onboarding materials and More ❯

Machine Learning Engineer – Onsite in Oxford Location: Oxford, UK Employment Type: Full-time, Onsite Are you passionate about applying cutting-edge machine learning to real-world challenges? This is an opportunity to work at the intersection of AI and advanced manufacturing , helping to optimize processes and material composition through innovative solutions. What You’ll Do Design … develop, and validate novel machine learning models to optimize manufacturing processes and material composition . Collaborate closely with process engineers, material scientists, and domain experts to identify and engineer meaningful features. Develop internal machine learning platforms to enable adoption and application of validated models. Work as part of a fast-paced, agile development team , identifying and … Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance. Essential Skills Master’s degree in Machine Learning, Mathematics, or Statistics . Strong understanding of probabilistic model development . Experience with Bayesian modelling . Solid grasp of software design principles and best practices . Proficiency More ❯

with your expertise in AI and ML. Main Responsibilities as Senior Machine Learning Engineer: Collaborate with internal and external teams to bring cutting-edge business AI/ML solutions to life in scalable cloud environments. Build robust, high-performance systems that seamlessly productionise both real-time and batch models. Tackle traditional tech challenges with fresh thinking and creative … collaboration, driving continuous improvement. Design and implement AI/ML solutions with best MLOps/LLMOps practice that meet demanding performance and functionality standards. Lead the way in developing streamlined operational processes, ensuring smooth deployment, monitoring, and governance of models. Write clean, well-documented code backed by thorough testing and proactive production monitoring, while resolving issues with precision and care. … Skills and experience you need as Senior Machine Learning Engineer: Collaborate with internal and external teams to bring cutting-edge business AI/ML solutions to life in scalable cloud environments. Build robust, high-performance systems that seamlessly productionise both real-time and batch models. Tackle traditional tech challenges with fresh thinking and creative collaboration, driving continuous improvement. More ❯

for more information.Machine Learning Engineer/Researcher - 2025 Programme page is loaded Machine Learning Engineer/Researcher - 2025 Programmeremote type: Hybridlocations: Crawley, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR100925Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our … We are looking for skilled and innovative individuals to join our dynamic team. This role is ideal for those who have a strong foundation in machine learning (ML) and programming, coupled with an innate curiosity and drive to tackle complex challenges.Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or More ❯

for more information.Machine Learning Engineer/Researcher - 2026 Graduate Programme page is loaded Machine Learning Engineer/Researcher - 2026 Graduate Programmelocations: Crawley, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101055Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our … We are looking for skilled and innovative individuals to join our dynamic team. This role is ideal for those who have a strong foundation in machine learning (ML) and programming, coupled with an innate curiosity and drive to tackle complex challenges.Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech … printing , our client is transforming the way metal components are conceived, tested, and produced — enabling breakthroughs in aerospace, energy, and beyond. This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to … build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production. If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you’ll fit right in. Our client is seeking Machine Learning Engineers with experience in some More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly … printing , our client is transforming the way metal components are conceived, tested, and produced - enabling breakthroughs in aerospace, energy, and beyond. This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact - from inventing new alloys to optimising complex manufacturing processes. You'll collaborate with leading data scientists, engineers, and materials researchers to … build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production. If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you'll fit right in. Our client is seeking Machine Learning Engineers with experience in some More ❯

Machine Learning Engineer (Python/MLE ) 6 Month Contract £650 - £750 Remote Umbrella Urgent Start We are looking for a number of MLE/Machine Learning Engineers for a critical 6 month contract with a household name. This role is essential for maintaining the stability and performance of their core data and Machine Learning … November. This is a deeply technical engineering role focused less on new feature development and more on reliability and fixes. Key Skills: Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment. Extensive Python, NumPy and Pandas is required for this role. You must demonstrate a deep commercial background in the … Cloud Experience: Solid experience with any major public cloud provider (GCP, AWS, or Azure). Experience with BigQuery would be good. Machine Learning: Experience supporting and understanding ML pipelines and models in a production setting. Direct experience with Google Cloud Platform, BigQuery, and associated tooling. Experience with workflow tools like Airflow or Kubeflow. Familiarity with dbt (Data Build More ❯

of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As the Staff Machine Learning Engineer (VP) on the ML Engineering team, you will be responsible for designing, deploying, and scaling advanced ML systems that power core business functions across the enterprise. Reporting to the Executive Director of ML Engineering … you will play a critical role in building production-grade ML infrastructure, reusable frameworks, and scalable model pipelines that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will act as a technical thought leader and strategic partner, shaping the organization's machine learning engineering practices and fostering a culture of operational excellence, reliability … and responsible AI adoption. Responsibilities: Architect and deploy ML systems and platforms that solve high-impact business problems across regulated enterprise environments. Lead the development of production-ready pipelines, including feature stores, model registries, and scalable inference services. Champion MLOps best practices (CI/CD for ML, model versioning, monitoring, observability) to ensure models are reliable, reproducible, and cost-efficient. More ❯

the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond The role We are now looking for a Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for operational processes currently undertaken manually using browser-based UIs. An important … our customer-facing technical teams Utilise best-in-class capabilities to deliver these capabilities Research, invent and create novel capabilities where gaps in industry require it Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Contribute full-stack development, including software engineering, DevOps, and … are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive AI and machine learning expert who is familiar with leveraging and creating AI capabilities and who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are More ❯

Machine Learning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products … this is a company that 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 and ML issues in live … 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 AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random More ❯

for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks- Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model … SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps)- Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for … model training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design- Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and More ❯

for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks- Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model … SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps)- Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for … model training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design- Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and More ❯

in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture, direction, and delivery of advanced AI and Machine Learning initiatives. What youll do … Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices … in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs More ❯

for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost … love to hear from you! You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment Deploy and scale ML models, particularly large language models (LLMs) Build and maintain scalable pipelines and services to support real-time ML … improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and More ❯

contributing to scalable software architecture and 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 systems. Collaborating with engineers … project feasibility and impact. Defining and 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 Scikit-learn, TensorFlow, or … GCP), including architecture and security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast More ❯

AI Engineer Up to £90,000 Salary Southern England x2 days per month OVERVIEW Xcede’s Data-driven Insurance client with an excellent Data Science, ML Engineering and MLOps team is hiring for an AI Engineer to join their AI unit. The organisation have been building commercially successful Data Science products for years, and are now pushing further into Generative … AI with multiple LLM-based projects in production across the company. In this role you will be responsible for building and deploying production level ML models for a breadth of interesting commercial projects. The role is end to end focused. Your responsibilities as a Machine Learning Engineer will include but not be limited to: Developing and deploying predictive … a particular focus on LLMs and RAGs. Collaborate with cross-functional commercial and business teams, to understand business requirements and identify opportunities for deploying statistical models. Building production level Machine Learning models and be hands on in deployment. Evaluating and select appropriate machine learning techniques and algorithms for solving commercial challenges. YOUR SKILLS & EXPERIENCE A successful More ❯

your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing outcomes. … Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale … and reliability in real-world environments. AI SCIENTIST - ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem 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 ❯

Data Scientist & Machine Learning Engineer - Fully Remote We are currently working on a fully remote, data-driven gaming & entertainment company that's scaling its Data Science and Machine Learning capabilities across Europe. The business has around 100 employees globally and is deeply invested in analytics, experimentation, and automated decision-making.They're now hiring for: Senior Data … and frequent interaction with C-level stakeholders, so strong communication and statistical depth are essential.Tech: Python, SQL, GCP. Machine Learning Engineer Focused on deploying, maintaining, and monitoring ML systems. You won't be building models but will work closely with DS and engineering teams to ensure performance and reliability. Quality and resilience matter more than years of experience.What More ❯

programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative … opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client More ❯

LLMs) and generative AI. In this pivotal role, you will be responsible for developing and implementing a forward-looking IAM program tailored to the complexities of CDAO & AI/ML data platforms. You will anticipate emerging threats, challenge the status quo, and apply your expert judgment to solve real-world challenges that impact our company, our customers, and our communities. … artificial intelligence, we invite you to join our dynamic team. Job Responsibilities: Pioneer a Visionary IAM Strategy: Develop and execute a comprehensive IAM roadmap for our CDAO & AI/ML data platforms, incorporating the latest advancements in securing LLMs, machine learning models, and the entire AI development lifecycle. Secure the AI Ecosystem: Engineer robust access control mechanisms for … large-scale datasets, model training and inference environments, and the AI/ML supply chain. This includes defining and managing identities for human users, AI models, and autonomous agents. Mitigate Emerging AI-Specific Risks: Conduct in-depth assessments of IAM technologies and processes to identify and address vulnerabilities inherent to AI systems, such as prompt injection, data poisoning, and model More ❯

faster. Key Responsibilities Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights Train, validate and deploy machine learning pipelines Test, troubleshoot, and enhance customer software applications with and on behalf of customers Identify application performance bottlenecks and implement optimizations Write application specifications, tutorials and documentation … we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. Work Experience Qualification Musts: Experience in data science methods, including statistical analysis , machine learning , and data visualization . Experience identifying and resolving operational or data-related issues using documented procedures and prior case studies. Experience making small-scale system and process … improvements to enhance functionality and efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and More ❯

from finance to technical operations-across the USA, Europe, and other regions. Your mission: drive adoption, deliver measurable business value, and champion data product excellence through advanced analytics and machine learning innovation. Key Responsibilities Define product strategies and roadmaps aligned with global business challenges and opportunities in AI, machine learning, and predictive analytics. Manage the full … Develop business cases and manage product delivery budgets. Define KPIs to measure success, model performance, and foster continuous improvement. Build and lead a high-performing team of Data Modellers, Machine Learning Specialists, and Business Analysts. Communicate strategy, vision, and progress to senior stakeholders, articulating the impact of AI and predictive insights. Your Profile 5+ years' experience in data … or AI product management. Strong grasp of data infrastructure, analytics, machine learning, and predictive modelling. Proven track record of launching and scaling AI-enabled data products. Strategic thinker with tactical execution abilities. Skilled in agile methodologies and stakeholder engagement. Inspirational leader and mentor with excellent communication skills. Bachelor's degree in Computer Science, Data Science, Business, or similar More ❯