1 to 25 of 94 Permanent Machine Learning Jobs in the South East

Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field developing novel algorithms … part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities translating complex scientific and business problems into deployable ML products. Key Responsibilities Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing ...

Senior ML Ops Engineer London (Hybrid, 1-2 days per week) | £75,000 - £85,000 + 10% Bonus This is an opportunity to join a growing AI and data organisation that is using advanced analytics and machine learning to help public sector organisations make better, more informed decisions. … will play a pivotal role as the ML Ops specialist within the AI function, owning the infrastructure, deployment, and operational excellence of production machine learning systems. The Company They are an established data and AI business focused on developing innovative machine learning and analytics solutions that ...

organisation. This is the highest individual contributor tier within the field a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML … solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers ...

opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You'll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact. The Company They are a data … partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches. The Role You will: Develop and deploy machine learning models that support pricing and risk management strategies. Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics. Create ...

level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across … future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution ...

opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables advanced AI services to deliver real-world impact at scale. … cloud infrastructure that supports machine learning and AI services in production. Deploy, manage, and monitor machine learning models using Azure ML, Azure Kubernetes Service (AKS), and related Azure services. Design and develop robust orchestration pipelines for model training, deployment, inference, and retraining workflows. Implement infrastructure ...

join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist … will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business ...

innovative data-driven business that is transforming how risk is assessed and managed within the payments ecosystem. Working at the intersection of Data Science, Machine Learning, and FinTech, you will have the chance to solve complex commercial challenges, influence product development, and help shape cutting-edge risk solutions … ground up. The Company They are a fast-growing technology business focused on helping organisations better understand and manage risk through advanced analytics and machine learning. Their proprietary solutions combine large-scale transactional data with external data sources to deliver actionable insights and predictive risk intelligence. Operating across international ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced ...

Machine Learning Engineer Location: London Salary: £95,000-120,000 Contract: Permanent Working pattern: On site, 3 days a week A new software venture built inside an established global provider of analytical and research services to the private capital industry is hiring Machine Learning Engineers ...

agentic techniques to solve hard problems in language understanding, extraction, and reasoning. Shape the Product : Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product goals and real domain constraints. Scale & Optimise : Take systems from prototype to production, optimising for latency, cost per run, and reliability … scale. What type of person fits the role: Experience: 6+ years in ML/AI, with deep hands-on expertise in NLP, LLMs/SLMs, and agentic systems. LLMs & Architectures: Hands-on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures. Tooling: Practical ...

world business challenges? Do you enjoy working with data, uncovering patterns, and using evidence to influence decisions? Are you curious about how artificial intelligence, machine learning, and advanced analytics can help businesses innovate and improve performance? Our Data Scientist Apprenticeship provides an excellent opportunity to launch your career … data science while learning from industry experts within a leading technology company. Benefits of the programme: Earn while you learn with a competitive salary. Gain hands-on, job-specific training and real-world experience. Achieve a recognised professional qualification . Secure a permanent role from the start of your ...

Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse … technical stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. ...

Senior Data Scientist to join a growing technology business at a key stage of its journey. You'll work on high-impact machine learning projects, help shape analytical best practice, and see your work directly influence product development and client outcomes. The Company They are a data-driven … SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

Build and deploy AI-driven fraud identification capabilities using multiple data sources. Develop fraud classifiers, anomaly detection, document intelligence and network analysis solutions. Use machine learning and AI to identify emerging threats, including synthetic identities and sophisticated application fraud. Own the production of fraud models, including testing … consumer lending or financial services. Hands-on experience building and deploying fraud or risk models into production. Advanced Python and SQL skills alongside strong machine learning knowledge. Practical experience working with LLMs, agentic AI or AI-driven decisioning, including evaluation, guardrails and governance. Strong understanding of Git, testing ...

events Employment: Permanent, full-time MFK Recruitment is recruiting a Founder’s Associate for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding operational environments. Our client has a highly experienced team of Software Engineers, Data Scientists, Machine Learning specialists and Researchers. The company is growing rapidly and is now looking for a highly capable individual to work closely with the CEO and senior management team. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still ...

FinTech with an innovative approach to lending. You'll play a key role in building and improving fraud prevention capabilities, working on high-impact machine learning projects that directly influence customer outcomes, risk strategy, and business performance. THE COMPANY Our client is a forward-thinking FinTech with … fraud detection, identity verification, and fraud scoring models * Analyse large and complex datasets to identify fraud trends, risks, and opportunities * Evaluate new data sources, machine learning techniques, and fraud prevention tools * Build monitoring and reporting solutions to track model and fraud performance * Collaborate with Product, Engineering, Risk ...

Senior Systems Engineer role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Electronics, FPGA, Python, Machine Learning, Data Science or Simulation contact us today. ...

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

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

Machine Learning Engineer (Voice) - London An AI-native engineering org. Agents across coding, reviewing, QA, ops, support, scheduling. You'll help turn the company itself into an intelligent system. Speech-to-speech agents that feel like a person in the room. Interruptions, back-channels, noisy kitchens, hearing aids ...

responsibly and at scale. Must-Have Proven Production Experience: You have lived it, breathed it. Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. … communication style. 1-hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. Well explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence ...

more of the following areas: Exploit development. Secure software development. Vulnerability research skills. Machine Learning model development and understanding of the ML eco-system. Familiarity with vulnerability research tools and frameworks. Understanding of operating systems, networks and system architecture. Reverse engineering. Nice to Have Experience researching AI, machine learning or large language model security risks. Experience turning research ideas into working prototypes, tools or customer-facing demonstrations. Ability to explain technical findings to both specialist and non-specialist audiences. Location & Clearance This role will be based from Romsey, with an opportunity to visit our client sites ...