26 to 50 of 268 Machine Learning Jobs in the South East

and intelligence and we’re looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you’ll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. Collaborating closely with our architecture, research, analytics, and product teams, you’ll bring creativity and technical … metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS … multimodal where relevant (e.g., Whisper ). Choose customization paths pragmatically: prompt engineering , system prompts, tools, adapters/LoRA, and selective fine-tuning only when needed. Fine-tune and optimize ML models and LLMs to enhance performance, efficiency, and relevance for Chambers’ research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a new Data Science Engineer (MLOPS … Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law firm experience 2-4 years experience within AI/ML positions Knowledge of cloud platforms (Ideally Azure) AI/ML Frameworks Generative AI Data engineering knowledge Solution Delivery Design, build, and deploy data science and AI solutions end-to-end … testing, release, monitoring, and support. Operationalize models with CI/CD pipelines, automated testing, and monitoring, applying MLOps practices such as versioning, retraining, and drift detection (tools: MLflow, Azure ML, Databricks) Leverage both open-source frameworks (LangChain, Hugging Face, etc.) and enterprise platforms (Azure OpenAI, Databricks, etc.) to deliver production ready, scalable AI solutions Implement generative AI and advanced analytics More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. Youll work with their consultants, engineers, and designers to prototype and deliver intelligent … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. Youll work with their consultants, engineers, and designers to prototype and deliver intelligent … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. Youll work with their consultants, engineers, and designers to prototype and deliver intelligent … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. You’ll work with their consultants, engineers, and designers to prototype and deliver … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. You’ll work with their consultants, engineers, and designers to prototype and deliver … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find … opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and … into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or More ❯

transforms products, processes, and customer experiences. What You'll Do Develop and implement a comprehensive AI roadmap aligned with business objectives. Design and oversee scalable AI systems, including advanced machine learning models, automation tools, and generative AI applications. Build and manage a high-performing team of AI engineers, data scientists, and product specialists. Collaborate with senior stakeholders to … organisation externally as a thought leader in AI, engaging with industry forums and technology communities. What We're Looking For Advanced academic background (PhD or MSc) in Computer Science, Machine Learning, AI, or related discipline. Proven track record of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and More ❯

enhance functionality. Integration: Integrate Power Platform solutions with Microsoft 365 services (like Teams and SharePoint) and other third-party systems or APIs. Data & AI Integration: Utilize AI Builder and machine learning models to add intelligence to applications and automations. Collaboration: Work closely with business analysts, stakeholders, and end-users to understand requirements and ensure solutions meet business objectives. … Essential Skills & Knowledge: Microsoft Power Platform: Deep knowledge of Power Apps, Power Automate, Power BI, and Dataverse. AI & Machine Learning: Experience with AI automation tools, machine learning models, and AI Builder for enhanced functionality. Copilot Studio: Expertise in building and deploying conversational AI solutions with Copilot Studio. Programming Languages: Proficiency in languages like C# and JavaScript More ❯

and is already very profitable. Data Scientist We are looking for an exceptional Data Scientist to join us at this exciting time as we build on our growth. Our machine learning algorithms literally need to be outstanding for our clients to use us. As an early joiner, the Data Scientist role is key, and provides multiple opportunities for … power of algorithms, improving client insights available through the user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights … spirit and drive to work in an early stage start-up A curious mindset to understand how we can improve things and better help our clients address commercial challenges Machine learning experience Nice to haves Comfortable working with large datasets of over 10 million rows Data engineering experience to speed up pipeline running Experience of pricing analytics and More ❯

partnered with an early stage high potential AI focused Tech Start-Up who aree looking for a Junior Data Scientist to join their growing team and help develop advanced machine learning models that predict and prevent equipment failures in large-scale industrial operations. This is an exciting opportunity to apply data science to real-world engineering challenges , using … innovation to heavy industry. You'd join the business at a very early stage which is uniquely positioned for rapid growth! What You'll Do Build, validate, and monitor machine learning models for anomaly detection and failure prediction. Analyze sensor data and operational logs to support predictive maintenance strategies. Develop and maintain data pipelines using tools like Apache … Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field. Strong experience with Python and data science libraries (Pandas, Scikit-learn, etc.). Solid understanding of machine learning concepts and algorithms . Interest in working with real-world industrial or sensor data . Exposure to Apache Airflow and/or MLflow (through coursework or experience More ❯

The Role As a Data Scientist, you'll work within a multidisciplinary team to extract insight from complex, high-volume datasets. You'll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills … and mission specialists to ensure data-driven outcomes that make a tangible difference. Key Responsibilities Perform data wrangling , cleaning, transformation, and preparation of large, complex datasets Develop and deploy machine learning models to solve real-world operational problems Write clean, maintainable Python code for data analysis, automation, and modelling Collaborate with engineers and analysts to integrate models into … technical and non-technical stakeholders Contribute to the ongoing improvement of analytical tooling and processes Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding More ❯

Drive Growth in the Future of Tech Recruitment – Become a Recruitment Consultant on Our Data, AI & Machine Learning Desk As a Recruitment Consultant , you will develop the technical expertise and market awareness to identify, open, and develop new market opportunities in an inclusive and supportive environment. We are looking for a self starter and sales driven person to … join our successful Digital Technology team on a Data, AI & Machine Learning desk. With this as a market focus, it’s a great time to join this team! You will grow, what we refer to as “your desk” - your desk in recruitment is a hub of activity, where you'll spend your days connecting with candidates, coordinating interviews … . Join a business positioned in a rapidly expanding, future-proof market with endless opportunities to scale and innovate. We are looking for individuals with; Experience in Data, AI & Machine Learning within Recruitment: You understand how technology is reshaping talent acquisition — from data-driven sourcing to AI-powered matching and automation. Proven Business Development/Sales Focus: A More ❯

Machine Learning Quant - Start Up £150,000 GBP + performance bonus + internal fund investment Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch … next year and are currently hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from data processing to fine tuning … experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 #alhu More ❯

AI Developer - Azure, ML, AI Foundry £Market Rate (Inside IR35) Hybrid/South West London 6 months I am currently recruiting for an AI Developer with expertise in the Microsoft ecosystem, particularly Azure AI services and AI Foundry, to help design, develop, and deploy advanced AI solutions utilising your skills in building scalable AI applications, integrating with enterprise systems, and … leveraging Microsoft's AI tools to deliver business value. Key requirements: Technical Expertise in Azure AI services, Azure Machine Learning (ML), and AI Foundry. Hands-on experience with Azure Cognitive Services, Azure OpenAI, and Azure Data Factory. Solid programming skills (Python/C#,/.NET) Experience with Azure DevOps, CI/CD pipelines, and GitHub Actions. Knowledge of … containerization (tools ie Docker) and orchestration (ie Kubernetes on Azure). Good awareness of Data & AI - understanding of ML lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/ More ❯

is highly desirable. Continuous Integration/Continuous Deployment (CI/CD) : Experience with integration and deployment tools, understanding the principles of CI/CD pipelines for streamlined software delivery. Machine Learning/AI : Basic understanding of AI and machine learning concepts. Database : Understanding NoSQL databases. Numerate Degree Qualification – You should possess a computer science degree or … or office) Most importantly you will have the opportunity to work with a highly motivated team and be part of building a business, launching new products, engaging new customers, learning new skills and achieving success. More ❯

be solving real-world problems from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas … the UK or equivalent Strong coding ability in at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not More ❯

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial … create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support … to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python More ❯

Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively … Engineer with a strong interest and practical experience in applied AI or machine learning Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.) Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production Solid understanding of cloud technologies, containerisation and building scalable AI … applications Ability to integrate AI/ML models into real-world applications, focusing on usability and performance Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus Experience or strong interest in energy markets and trading strategies Understanding of More ❯

Our digital apprenticeship programs are 2 years long. During this time, you’ll work on different projects alongside learning day to day operations, to become a rounded professional. Role During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data analysts, product managers, data scientists, data engineers, software engineers, data managers … and business partners. You will be part of a team whose responsibilities include: Building scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocating for data science and best practices (e.g. technical design, technical …/apprenticeships/st0118-v1-1. For which the provider is likely to be Corndel, however, may be subject to change. Level 4 Data Analyst Apprenticeship - Corndel The formal learning will be a combination of online and in person. A minimum of 6 hours of your working time will be protected for formal learning. There may be an opportunity More ❯

Data Science Manager, you will be responsible for leading a talented team of Data Scientists while still contributing individually to the design and development of cutting-edge AI and ML infrastructure. This role blends leadership, strategy, and hands-on technical delivery. This is an exciting chance to lead the data science efforts behind a cutting-edge AI product, while continuing … of Data Scientists, fostering a high-performance and collaborative culture. Guiding strategic decision-making on technology and architecture to ensure scalable and cost-effective solutions. Driving the development of machine learning models, pipelines, and tooling, with a strong emphasis on MLOps best practices. Acting as a subject matter expert internally and externally, including with key customer stakeholders. Translating … Deep understanding of machine learning model lifecycles and optimisation. Skilled in building, training, and deploying models on large datasets. Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks. Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure. Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders. A collaborative, curious More ❯

include producing production level code with appropriate testing, maintaining projects, developing new tools, resolving issues, as well as identifying & using new technology options/techniques in the AI/ML space. In order to be suitable for this role you must have proven experience working in a Python Developer, Web Developer, Full Stack Developer, Software Engineer, Application Developer, Machine Learning Engineer, Programmer, or similar role focused on Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools More ❯

include producing production level code with appropriate testing, maintaining projects, developing new tools, resolving issues, as well as identifying & using new technology options/techniques in the AI/ML space. In order to be suitable for this role you must have proven experience working in a Python Developer, Web Developer, Full Stack Developer, Software Engineer, Application Developer, Machine Learning Engineer, Programmer, or similar role focused on Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools More ❯

robust and high-performance software to meet and exceed user requirements. We specialise in Software Engineering, Modelling & Simulation, Robotics & Autonomous Systems, Synthetic Environments, and AI & Machine Learning (ML). Our team provides, adaptable and highly skilled capability, with a range of specialities to ensure that the right techniques are used to solve your problem. The Role: As Head … a combination of mentoring and internal and external training opportunities, with specialist sector organisations and in-house courses. You will have exposure to subject matter experts and additional online learning packages. The role comes with a competitive benefits package including pension (7% company contribution), additional holiday purchase options, private health care, life assurance and electric vehicle scheme Other Requirements More ❯