26 to 50 of 248 Machine Learning Jobs in the South East

business 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 … to have experience developing predictive models, whether that be in credit risk, insurance or a wider pricing setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience mentoring or managing junior team members SALARY AND BENEFITS Base salary from £80-105,000 depending on experience Company pension More ❯

Job Title: ML Ops/LLM Ops Engineer Location: Hybrid (potentially 1 day per week in east London) Contract: 6 month Contract Day Rate: £400 per day (Outside IR35) About the Role We are seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning … Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and support production-grade ML services. This is a fast-moving environment where cutting-edge Generative AI technologies are constantly evolving, so adaptability and technical excellence are essential. Key Responsibilities Design and implement tooling and … technologies to support ML models and LLMs in production. Deploy, maintain, and optimise machine learning services within a cloud environment (AWS). Recommend and implement prompt management tools and provide expertise in prompt engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. More ❯

Job Title: Machine Learning Engineer (Data/ML) Location: London/Hybrid - Once a week (Thursday) in London Duration: 6 Months Day Rate: £500 per day overall assignment rate to umbrella. This is a greenfield based project with crossover from another tech team conducting a similar model. You will collaborate with the Data Scientist, Data Architect, and cross … Tech Teams , supporting the build phase while contributing hands-on technical expertise. Key Responsibilities: Work with the Senior Engineer/Tech Lead to implement and optimise data pipelines and ML models. Develop high-quality, maintainable code in Python and PySpark. Use SQL and Jupyter to analyse, transform and validate data for ML use cases. Operate in a cloud environment (AWS … . Collaborate with stakeholders and technical teams to deliver solutions that support business growth. Skills & Experience Required: Strong hands-on experience in Python, PySpark, SQL, Jupyter . Experience in Machine Learning engineering or data-focused development. Exposure to working in cloud platforms (AWS/Azure) . Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … leaders will be committed to your career and development from day one. Key Responsibilities Backend development of generative AI evaluations for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Participate in code reviews, continuously improving … and product. Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … leaders will be committed to your career and development from day one. Key Responsibilities Backend development of generative AI evaluations for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Participate in code reviews, continuously improving … and product. Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience More ❯

of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI/ML Implementation: Design and implement AI/ML algorithms to … automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Proven … application of AI/ML in geoscience projects. Experience with the energy sector. Familiarity with geological process modelling. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected More ❯

genuinely challenging problems: Optimisation at scale : Building solvers that can handle real-world constraints using OR-Tools, commercial solvers, or your own custom algorithms when nothing else works Production ML systems : Taking academic theories and making them work reliably in production environments (Python, Docker, Kubernetes stack) Pragmatic problem-solving : Knowing when to use exact methods vs when to build heuristics … You've built solvers before and understand the trade-offs between different approaches Strong Python engineering : Not just scripting – proper software engineering with testing, monitoring, and production deployment experience ML systems experience : You've taken ML models from proof-of-concept to production systems that handle real workloads Problem-solving mindset : You enjoy the challenge of constraints and finding elegant … backing : Well-funded with clear growth trajectory This is the kind of role where your optimisation expertise will be genuinely valued and challenged. If you're tired of basic ML work and want to solve problems that actually require mathematical sophistication, let's talk. APPLY TODAY for immediate consideration. More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff … and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff … and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data 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 ❯

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 … for charity work Most importantly we offer 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 ❯

C++ Software Engineers (Numerical Modelling, AI/ML, Python)Guildford, Surrey (On-site)£60000 - £100,000 + 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 looking to bolster their engineering team … the Innovation Team which have a broad mandate to work across the entire suite of internal products. 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 highly … C++, C#) and at least one high-level scientific language (e.g., Python, Julia) andExperience 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 ❯

Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and platform engineers to ensure robust and efficient data delivery. This is an … degree in computer science, Engineering, Data Science, or related field. Experience with streaming data technologies (e.g., Kafka, Kinesis). Familiarity with data cataloging and metadata management tools. Exposure to machine learning pipelines or MLOps is a bonus. At bp, we provide the following environment and benefits to you: A company culture where we respect our diverse and unified … we are proud of our achievements and where fun and the attitude of giving back to our environment are highly valued Possibility to join our social communities and networks Learning opportunities and other development opportunities to craft your career path Life and health insurance, medical care package And many other benefits. We are an equal opportunity employer and value More ❯

Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and platform engineers to ensure robust and efficient data delivery. This is an … degree in computer science, Engineering, Data Science, or related field. Experience with streaming data technologies (e.g., Kafka, Kinesis). Familiarity with data cataloging and metadata management tools. Exposure to machine learning pipelines or MLOps is a bonus. At bp, we provide the following environment and benefits to you: A company culture where we respect our diverse and unified … we are proud of our achievements and where fun and the attitude of giving back to our environment are highly valued Possibility to join our social communities and networks Learning opportunities and other development opportunities to craft your career path Life and health insurance, medical care package And many other benefits. We are an equal opportunity employer and value More ❯

Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and platform engineers to ensure robust and efficient data delivery. This is an … degree in computer science, Engineering, Data Science, or related field. Experience with streaming data technologies (e.g., Kafka, Kinesis). Familiarity with data cataloging and metadata management tools. Exposure to machine learning pipelines or MLOps is a bonus. At bp, we provide the following environment and benefits to you: A company culture where we respect our diverse and unified … we are proud of our achievements and where fun and the attitude of giving back to our environment are highly valued Possibility to join our social communities and networks Learning opportunities and other development opportunities to craft your career path Life and health insurance, medical care package And many other benefits. We are an equal opportunity employer and value More ❯

Overview Role Description In this role you will collaborate with data scientists, ML engineers, and analysts to design and implement solutions that extract insights from unstructured text. Projects may include topic modelling and entity recognition, text generation, ontology creation, and conversational AI. This role demands strong technical expertise in NLP and a passion for innovation and problem-solving. This is … relevant experience, skills for the role, and location. Salary is only one part of our total reward package. About You In this role you will be: Implementing enterprise-level ML/GenAI strategies aligned with business objectives. Designing and developing NLP solutions using techniques such as text classification, NER, topic modeling, and text generation. Collaborating with data engineers and MLOps … related field (or equivalent combination of education and experience). Proven experience as a Data Scientist with a strong focus on NLP and knowledge graphs. Practical experience with graph machine learning techniques such as graph neural networks and graph data science. Proficiency in Python and experience with key NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers, Hugging Face More ❯

You will have: Minimum of 10 years in technical architecture on the enterprise level. Experience working in interdisciplinary teams to design and deliver solutions. Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions. Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and … MLOps(machine learning operations) practices. Deep knowledge about design and implementation of secure integrations between AI solutions and legacy enterprise software, whilst ensuring compliance with government-level security requirements, implementing single sign-on (SSO) authentication protocols, and maintaining appropriate access controls for OFFICIAL and OFFICIAL-SENSITIVE information handling. Deep knowledge about costing of AI models to produce reasonable More ❯

powered solutions· Work with Python, SQL/NoSQL, and APIs for integration· Test AI applications· Improve performance through feature engineering· Explore and incorporate the latest open-source AI/ML tools into business solutions· Develop and deploy machine learning models · Solve business problems· Clearly communicate technical ideas and insights · Work with technical and non-technical stakeholders To be … considered for the AI Engineer you will:· Have a degree or Master's degree · 1-2 years of experience within AI roles Have experience in Machine Learning, NLP, and GenAI Be proficient in Python and data libraries Maintain previous experience with SQL/NoSQL databases Have experience in API development/integrationAbility to analyze model performance In return More ❯

institutions to produce architectural solutions fit for programme purpose Define and oversee prototyping and exploratory development at speed to explore and mitigate technical risks. Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and … MLOps(machine learning operations) practices. Deep knowledge about costing of AI models to produce reasonable ROI and modular reusable services with moderate level of maintenance Understanding of data architecture, API design, and microservices patterns Knowledge of government technology standards and security frameworks Working knowledge about appropriate Data Ethics Frameworks for AI initiatives, ensuring responsible and transparent AI deployment More ❯

loves working with data, has a curious mindset, and is passionate about uncovering insights that drive meaningful change. As part of the Customer Experience team, you'll leverage analytics, machine learning, and AI-driven tools to identify trends, behaviours, and opportunities across the customer journey. You'll transform complex data into compelling insights that inform strategic decision-making … and improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory More ❯

and architectures, ensuring they are scalable and effective across both cloud and on-premise platforms. Lead the prototyping, testing, and optimization of AI models to drive continuous advancement in machine learning applications. Collaborate with project managers and cross-functional teams to identify and build use cases that leverage AI to solve complex business challenges. Provide expert consultation on … the integration and performance improvement of AI technologies in day-to-day business processes. Skills & Experience: Proven expertise in General AI, Natural Language Processing, and Machine Learning. Demonstrable experience in managing lifecycle of large language models and statistical language models including training and fine-tuning. Strong proficiency in Python, Java, and SQL/NoSQL databases, along with API development … Practical experience with deploying AI models on-premise and utilizing open-source frameworks such as Hugging Face and LangChain. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Benefits: 25 days annual leave plus a flexible benefits allowance of £660 per annum. Discretionary performance-based bonus and a comprehensive pension More ❯

AI Engineer LLM, Python, RAG, Data Analyst SQL, Tableau, R, Python, Gen AI, Machine Learning This is 12 month fixed term contract, hybrid working, office location Weybridge, Surrey The Role: Build and refine LLM/SLM-based … Generative AI solutions, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and on-premise environments. Develop ML models and integrate them into production systems, ensuring scalability and performance. Collaborate with cross-functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimize AI applications … ensuring continuous performance improvement. Essential Skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI More ❯

that put AI at the heart of product development. Why This Role Is a Game-Changer AI at the Core : You'll be instrumental in embedding artificial intelligence and machine learning into the DNA of our products-enhancing performance, personalisation, and predictive capabilities. Strategic Ownership : From ideation to execution, you'll lead the charge on high-impact initiatives … and stakeholders. What You Bring to the Table 3+ years of experience in Business Analysis or Product Ownership , ideally within Agile/Scrum environments. Proven experience applying AI or machine learning in a commercial or product-led context. Strong analytical mindset with hands-on experience using tools like JIRA, Confluence, SQL, Tableau, Power BI , or similar. Exceptional communication … to £95,000 base salary + performance bonus Exposure to cutting-edge AI technologies and next-gen product development A collaborative, inclusive culture that values innovation, curiosity, and continuous learning Clear pathways for career progression , professional development, and leadership opportunities Your Impact Starts Here This isn't just another BA/PO role-it's a chance to be More ❯

units. Key Responsibilities:* Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies.* Implement robust data governance, quality, and security practices.* Collaborate with data scientists to deploy machine learning models.* Lead or contribute to strategic planning, risk management, and stakeholder engagement.* Drive innovation through advanced analytics and research-based problem solving. To be successful you should … data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call More ❯

computational chemists to understand their challenges and translate complex scientific requirements into clear, actionable product plans. Drive Execution: Lead a cross-functional team of world-class cheminformaticians, AI/ML scientists, and engineers to deliver high-impact tools, from synthesis-aware generative models to advanced physics-based simulations. Industrialize Discovery: Be a key driver in our push for industrialization. You … years (Staff) of product management experience, with a proven track record of launching and iterating on complex, technical products. Deep experience with products that have a significant AI/ML or data science component. You are comfortable with the nuances of building, deploying, and improving machine learning systems. A demonstrated ability to apply customer-centric product principles, whether … its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up More ❯