26 to 50 of 301 Machine Learning Jobs in the South East

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow | Hybrid (2 days onsite) | Salary up to £85,000 + 10% bonus | SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join … and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product engineers. This hands-on role involves leading technical delivery, providing engineering assurance on bids and publications, mentoring junior researchers, and influencing research … e.g., Dstl, EPSRC, NS) About You PhD in a relevant field (AI, Machine Learning, Computer Science, Mathematics or related discipline) Around 10+ years' experience in AI/ML research and development in industry or academia, preferably within the defence sector Proven leadership experience managing R&D teams of 5 or more Experienced in engineering assurance activities Strong track More ❯

of complex document workflows that support global commerce. What You’ll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and … compliance teams to deliver real-world results What We’re Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points For • Experience … doing things properly • Opportunity to shape both the tech stack and the future of the platform • Culture of ownership, collaboration and continuous learning If you're a strong ML engineer who thrives in real-world problem solving, please APPLY TODAY. More ❯

Machine Learning Engineer (Computer Vision) Department: Vicon Markerless Employment Type: Permanent - Full Time Location: Botley, Oxfordshire Reporting To: Timothy Smith Description Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award-winning company, and the world's largest supplier of precision motion capture and tracking systems? Vicon … vision problems - such as object detection and human pose estimation - with the application of appropriate machine learning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms. • Demonstrated experience using leading-edge methods for modelling human and object shape, appearance and movement. • Excellent team working abilities with positive, can-do attitude. • Examples of working with large … spatio-temporal datasets. • Experience with Python and ML toolkits, e.g. PyTorch, Lightning, etc. Desirable Skills • Relevant conference, journal, or other peer-reviewed output. • Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within a standalone application. • Experience with model quantisation and optimisation for deployment, e.g. on GPUs. • Experience, aptitude, and a desire More ❯

Machine Learning Engineer with deep technical expertise and a passion for applying AI to real-world biological problems.?? What You’ll Be Working On: Designing and deploying ML models for protein structure prediction , genomic pattern recognition , and cell image segmentation Collaborating with bioinformaticians, data scientists, and software engineers to build scalable pipelines for research and clinical applications Fine … tuning and optimizing models using tools like AlphaFold , RoseTTAFold , BioBERT , and DeepCell Integrating ML workflows with platforms such as Benchling , PubMed APIs , and internal R&D systems Supporting model validation, performance benchmarking, and regulatory documentation Key Technologies & Tools: ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical … Strong understanding of biological data types (e.g., DNA/RNA sequences, protein structures, cell images) Experience working with open-source bioinformatics tools and APIs Comfortable building end-to-end ML pipelines in cloud environments Familiarity with regulatory considerations in clinical or research settings (e.g., HIPAA, GxP More ❯

Benefits/Contract options available Start Date: Flexible? About the RoleWe’re hiring a remote AI Engineer with strong Python skills to help build intelligent systems across domains like machine learning , natural language processing , and generative AI . You’ll be part of a collaborative team working on real-world applications, from prototyping to production deployment.This is a … on role ideal for someone who enjoys solving complex problems, writing clean code, and staying at the forefront of AI innovation.?? Key Responsibilities Design and implement scalable AI/ML pipelines using Python Build, fine-tune, and deploy machine learning models (including LLMs and transformers) Develop APIs and backend services to integrate AI models into applications Collaborate on … research and tools, and apply them to real-world use cases Contribute to code reviews, testing, and documentation Required Skills & Experience Strong proficiency in Python and its AI/ML ecosystem (e.g. NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) Experience with machine learning model development , training, and deployment Familiarity with LLMs , NLP , or computer vision techniques Solid understanding of More ❯

with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a … AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with the latest advancements in AI and machine learning technologies We think you'll be successful in this role if you have some of the following Proven experience in AI and machine learning, with More ❯

resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields Key Responsibilities: Lead significant … results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large … scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills and the ability to solve complex problems efficiently. Terms of Appointment: You must have the More ❯

on-road and off-road applications, utilising state-of-the-art robotics and AI algorithms. You will collaborate extensively across the company, working closely with other Planning teams (like Machine Learning and Trajectory Planning), upstream teams (such as Perception), and various other groups in a highly cross-functional environment. Your Team You will join our Planning Team, where … architecture and strategic direction of your team, and overall shape the development of the Oxa Driver. Promote a cross-functional development style and closely collaborate with routing, trajectory planning, machine learning, and other teams to achieve human-like, predictable, and safe AV driving behaviors. Drive the adoption of engineering and software development best practices in your team. Create … development skills, including modern C++ algorithm development and deployment in a production environment. Deep understanding of modern software engineering practices, including automated testing and CI. Understanding of AI/ML techniques for decision making and/or motion planning in the AV space. Extra kudos: A customer-obsessed mindset. We value people who relentlessly try to anticipate and prioritise the More ❯

drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. * Collaborate with … and insights effectively to stakeholders, presenting complex concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement of data science … and forecasting, preferably in a commercial or industrial setting. * Strong proficiency in Python, including libraries such as Pandas, NumPy, and scikit-learn for data manipulation and modelling. * Experience with machine learning algorithms. * Proficient in data visualization techniques to effectively communicate insights from time series data. * Strong problem-solving skills and ability to handle complex and unstructured data. * Must More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

Graduate Data Scientist Must have 2:1 or higher in Computer Science, Data Science, AI degree, or related field.Must have covered Machine learning and AI within degree. West Malling - £30,000 – INTERVIEWING NOW FOR IMMEDIATE START! Join a well-established and expanding team within the financial services industry and apply your data science expertise in a real-world … to make a swift contribution by crafting and implementing sophisticated models that shape key organisational strategies. Your Responsibilities Will Include: Designing and maintaining reliable, well-structured data workflows Creating machine learning solutions to assist with strategic choices Investigating the use of AI to enhance operational performance Partnering with data professionals on one-off analytical initiatives Communicating findings clearly … business stakeholders Ideal Candidate Profile: A 2:1 degree or higher in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Strong grasp of statistical methods and machine learning techniques Confident in using Python and SQL for data tasks Inquisitive, self-driven, and eager to tackle challenges proactively Effective communicator and enthusiastic team player Additional Assets More ❯

presence, is seeking a Quantitative Researcher to join their London office. This is a unique opportunity to work alongside world-class traders, technologists, and researchers to develop cutting-edge machine learning strategies. Responsibilities: Conduct advanced research to develop predictive models and high-frequency trading strategies. Apply statistical analysis, machine learning techniques, and mathematical modeling to large … Solid background in data analysis, statistical modeling, and numerical methods. Proven ability to work with large datasets and develop innovative solutions to complex problems. Demonstrated interest or experience in machine learning applied to real-world problems. Prior exposure to quantitative finance or trading (e.g., internships or research collaborations) is highly advantageous. Ideal Candidate: Currently working as a postdoctoral More ❯

They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at … the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and … model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary More ❯

SOFTWARE ENGINEER - DATA & ML INFRASTRUCTURE 6-MONTH CONTRACT £450-£550 PER DAY (OUTSIDE IR35) This role offers a great opportunity for a Software Engineer to join a high-performing data function building out infrastructure for cutting-edge ML and LLM use cases. You'll work closely with Data Engineers and Data Scientists to design clean, production-ready systems that support … model training, fine-tuning, and deployment. The environment values autonomy, quality, and technical curiosity, with the freedom to shape best practices in a fast-scaling ML context. THE COMPANY This is a tech-forward business investing heavily in AI and machine learning, with a focus on scalable systems and real-world impact. With a modern data platform already … in place, they're now scaling up their ML/LLM capabilities and need a strong software engineer to help operationalise model development workflows. You'll be joining a collaborative, cross-functional team working at pace to solve complex technical challenges. THE ROLE You'll sit at the intersection of data and machine learning, building services and tooling More ❯

technology consultancy is seeking a Research Scientist - Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI, autonomy, cyber, and complex … tier academic institutions and SMEs on mission-led innovation in data and decision support systems. Key Responsibilities Drive applied and novel research in knowledge representation, semantics, and graph-based ML Lead the delivery of technical reports, research proposals, and PoC demonstrators Mentor junior researchers and manage technical delivery across projects Present findings to both technical and non-technical audiences Engage … R&D teams (ideally 5+ people) Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning More ❯

projects across defence, security, and commercial domains. You'll work in multi-disciplinary AI teams , collaborating with internal stakeholders, academic partners, and SMEs, delivering real-world applications of advanced ML techniques and semantic technologies. Key Responsibilities: Lead and shape innovative research in NLP, LLMs, and graph-based machine learning. Oversee the technical delivery of R&D projects, from concept … relevant field with 4+ years of post-doctoral or industry experience. Proven experience leading R&D teams (5+ people) and securing funding. Strong Python development skills, with experience using ML frameworks like TensorFlow or PyTorch. Expertise in at least one of the following areas: Graph Machine Learning (predictive, causal, or neuro-symbolic) NLP (text mining, entity linking, information … extraction) Applications of LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply More ❯

you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond. … that’s pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact. The Role: You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems … and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you’ll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head office in a major academic city. There is More ❯

Applied Research Software Engineer (AI/ML, Python/Julia, C++, Masters or PhD) Guildford, Surrey (On-site) £65000 - £140,000 + 25% Bonus, 10% Pension, Private Medical . - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are … Team working on forward looking projects with a focus on high-impact research and early-stage prototyping. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment. You'll be working to deliver a new suite of … and one or more compiled systems languages (e.g., C, C++, C#). Experience with scientific computing, numerical methods, or computational modelling. Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building More ❯

ML Ops Engineer - Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond. … that's pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact. The Role: You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems … and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you'll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head office in a major academic city. There is More ❯

enjoy the journey. Role Overview: Principal AI Engineer You will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organization. Collaborating closely with Data Science, Engineering, Product, and Business teams, you'll understand complex challenges and … data exploration to model deployment and monitoring-ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML … tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control (e.g., Git), CI/CD pipelines, and automated testing for ML code. What we offer Join us and experience a different way of doing things-our 4Cs culture focuses on our colleagues, customers, company, and community. We support your growth with More ❯

improve customer engagement. As a Principal AI Engineer, you will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organisation. You will collaborate closely with cross-functional teams, including Data Science, Engineering, Product, and Business stakeholders … exploration to model development, deployment, and monitoring - ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML … code tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control (e.g.Git), CI/CD pipelines, and automated testing for ML code. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues More ❯

Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. You have experience in building AI applications. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You are fluent in Spanish and … Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and More ❯

The role is remote working with Adhoc travel within the UK for client meetings, workshops etc. Your role will involve: Building, scaling and leading a high performance team of machine learning engineers, AI researchers, and data scientists, driving end-to-end AI solution delivery. Designing and implementing AI architectures across cloud and on-prem environments, leveraging tools … like PyTorch, TensorFlow, and Hugging Face. Spearheading the development of production ready AI models, from foundational LLMs to custom built cognitive agents, solving real world business challenges. Establishing scalable ML/AI pipelines and infrastructure, working closely with data engineering and DevOps functions (Kubernetes, MLflow, Vertex AI, etc.). Acting as a thought leader, identifying new AI use cases and … LLMs, or intelligent agents. Strategic mindset with the ability to balance research innovation and commercial value delivery. Comfortable operating across cloud environments (GCP, Azure, AWS) and deploying AI/ML systems at scale. Strong knowledge of MLOps practices and infrastructure including CI/CD, model versioning, orchestration, and monitoring. A collaborative and inspiring leader who brings out the best in More ❯