351 to 375 of 379 Machine Learning Jobs in the South East

here but friendships that last in a company that values inclusion. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes … Role: Requirements Minimum of 5 years of experience in an implementation or business consulting environment. At least 2 years of experience in Human Resources, specifically within HCM, talent management, learning, succession, performance, and/or compensation. Leverage strong client relationship skills to influence and guide clients towards the best solutions to meet their needs. Proven experience leading medium to … processes, tools, and structured methodologies. Ability to recognize project risks and proactively collaborate with the team to document and mitigate them. Excellent analytical skills and time management abilities. Demonstrate learning agility and critical thinking skills, applying best practices in new implementation situations. Exceptional verbal and written communication skills. Ability to manage multiple and changing priorities with flexibility and adaptability. More ❯

to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges The More ❯

Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL Preferred Qualifications Experience with AI/ML model More ❯

the Role An innovative UK technology company is developing a next-generation AI platform designed for defence and health applications. Were looking for a Software Engineer who thrives on learning quickly, solving complex technical problems, and building systems that make a real-world impact. This is a genuine ground-floor opportunity to influence both the technology and your career … for mission-critical workloads What Were Looking For Degree in Computer Science, AI, or related field, or equivalent hands-on experience Experience with LLMs, vector databases, or AI/ML frameworks Strong foundation in Python or similar programming languages Exposure to backend development for secure, on-premise systems Passionate programmer with a problem-solving mindset Quick learner who enjoys exploring More ❯

variants) to real-time performance. MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for … embed MLOps standards into the core Data Engineering team. Key Skills: Must Have: MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version More ❯

for our operational beamlines. The postholder will contribute to shaping Diamonds data analysis strategy and lead cross-functional projects that combine experiment management, real-time analysis, and AI/ML-driven optimisation. As a Senior Software Scientist, you will: Collaborate closely with beamline scientists and engineers on automation, mail-in, and remote-operation workflows, supporting the groups strategic goal of … analysis pipelines for SAXS, WAXS, IR imaging, and CD spectroscopy, integrating these with Diamonds information management systems and computational infrastructure. Lead and contribute to the implementation of AI/ML-driven workflows for tasks such as beam and optics optimisation, instrument digital twins, signal and image denoising, and hyperspectral analysis. Work with partners such as the Ada Lovelace Centre (ALC More ❯

Audit Technology Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Audit Technology Product Owner (Technology and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need expertise on the Business and … track, analyze, and interpret KPIs to guide product improvements and communicate results to stakeholders. Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership. Collaboration and flexibility: Experience working with More ❯

lead the development and evolution of a modern enterprise data platform. This strategic, hands-on position involves architecting and optimising scalable data pipelines to support advanced analytics, AI/ML initiatives, and actionable insights across the organisation.You'll take full ownership of the Snowflake platform implementation and adoption, ensuring it becomes the central hub for trusted, secure, and high-performing … Guide and develop data engineers and analysts in best practices and technical excellence. Stakeholder Collaboration: Work closely with business teams to deliver scalable data products for analytics and emerging ML initiatives. Monitoring & Reliability: Establish monitoring, alerting, and cost management strategies to ensure resilience and predictable spend. What You'll Need to Succeed Proven experience designing and delivering cloud-based data More ❯

and deliver transformative cloud solutions - from migrating legacy applications onto Cloud, to building innovative, new cloud-native applications. Continue to learn and grow - we actively encourage and support continuous learning and certification. Serve as a cloud evangelist, educating customers on the value Cloud computing can bring to transform their business.????????? In your role, you will: Design, implement scalable, secure … infrastructure. Lead and execute large end-to-end cloud migration projects. Implement and maintain cloud security measures to protect against unauthorized access and data breaches. Collaborate with data scientists, ML engineers, and software developers to deploy ML models and pipelines in production environments. Evaluate and recommend new Cloud services and features to improve the efficiency and effectiveness of the cloud More ❯

for e-commerce workflows, real-time monitoring dashboards for conversion rates and performance optimisation, and maintain both frontend and backend deployment pipelines Skills & Qualifications 3+ years in AI/ML engineering with rapid prototyping experience in conversational AI systems, agent architectures, or fast-paced ML deployment environments, ideally with e-commerce exposure and full stack development experience Agent Framework Expertise More ❯

a modern SaaS environment. The Opportunity Join a small, high-impact team developing an AI Insight & Decision Platform for industrial and manufacturing businesses. You’ll lead all AI and ML initiatives – from architecting intelligent agents and predictive models to integrating them into a live SaaS product used by industry clients. This role is focused on building practical, production-grade AI … systems that deliver measurable value. Responsibilities Design and deliver AI-driven features such as intelligent inventory optimisation, autonomous procurement, and predictive maintenance. Build and integrate LLM-driven components, ML pipelines, and OCR tools into a .NET/React SaaS stack on Azure. Set technical standards for AI development and MLOps. Work closely with developers and the Founder/CEO to … pilot project launching in mid-2026, with potential to grow into a CTO-level position in the future as the company scales. Requirements 4+ years’ experience in AI/ML or software engineering with production responsibility. Strong skills in Python, vector databases, LangChain or Semantic Kernel, and Azure AI/MLOps. Experience in manufacturing, supply chain, or industrial technology preferred. More ❯

AI products. This can involve anything from improving our training algorithms, training and integrating multimodal LLMs, building our data pipeline, designing new model architectures to using tried and tested ML approaches and coming up with clever algorithms. You will help us build new AI features that will be shipped to millions of camera devices in the field. Together we are … for our customers. You will use and improve multimodal LLMs to achieve new functionality for our customers and optimize their deployments (cloud and edge). Some of our deep learning models are truly tiny - the memory footprint of our smallest computer vision model is just 1MB. You will train and design more accurate models, while also enabling new and More ❯

fast-paced environment, with the ability to navigate and clarify ambiguity when it surfaces. Fluent in English, with excellent communication skills. Nice to Have Background in Data Science or ML Engineering. Experience with a human-in-the-loop system Experience in a Startup/Scale-up environment Been a part of a founding Product team What we offer Generous compensation … laptop*, remote setup stipend, and co-working budget Flexible schedules and location Ample paid time off, in addition to local public holidays Enhanced parental leave Health & retirement benefits Annual learning & development budget - up to £500/€600/$650 per year Annual workaways and regular virtual & in-person socials Opportunity to contribute to groundbreaking projects that shape the future More ❯

a Data Analytics Engineer with an R&D client specialising in Defence and National Security programmes. The role itself will be working on cutting-edge tech across AI/ML, Cyber, Cloud, DevOps/SRE and Platform Engineering , helping solve some of the most unique and impactful challenges in the industry. The role focuses on: * Building high-performance data analytics … Deploying containerised solutions to Kubernetes * Working with AWS (EKS, EC2, S3) and Docker * Writing clean, secure, test-driven code in an agile team Bonus experience (not essential): AI/ML concepts, Redis, Rust, Kafka/NATS, Robot Framework, Linux networking. You'd be based out of their Romsey site 3 days per week (2 remote). Due to the nature More ❯

a Data Analytics Engineer with an R&D client specialising in Defence and National Security programmes. The role itself will be working on cutting-edge tech across AI/ML, Cyber, Cloud, DevOps/SRE and Platform Engineering , helping solve some of the most unique and impactful challenges in the industry. The role focuses on: * Building high-performance data analytics … Deploying containerised solutions to Kubernetes * Working with AWS (EKS, EC2, S3) and Docker * Writing clean, secure, test-driven code in an agile team Bonus experience (not essential): AI/ML concepts, Redis, Rust, Kafka/NATS, Robot Framework, Linux networking. You'd be based out of their Romsey site 3 days per week (2 remote). Due to the nature More ❯

leading high-performing technical presales or sales engineering teams Broad technical foundation across areas such as cloud infrastructure, security and compliance, APIs, integrations, and modern approaches to AI/ML Demonstrated success in supporting large enterprise opportunities, from proof-of-value through to close This company values a top academic history so are looking for a 2.1 or 1st class … SaaS Sales Engineer/Cloud Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR More ❯

Overview Posted Friday 19 September 2025 at 00:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a More ❯

Data Product Manager - AI/ML Platform (Fully Remote, UK) Salary: £100,000 + benefits Location: Fully Remote (occasional meet-ups in London) Type: Permanent | Individual Contributor We're partnering with a market-leading AI-driven search intelligence company helping global enterprise brands optimise paid search performance and gain competitive insight through large-scale data and machine learning. As … a Data Product Manager , you'll take ownership of the company's data platform and ML ecosystem - shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights. The Opportunity You'll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data engineering … and data science teams. This is a hands-on product role - ideal for someone who thrives at the intersection of data, ML, and product strategy . Focus areas: Data integrity, scalability, and cost efficiency Managing complex data workflows and ML pipelines Ensuring model quality and performance Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI More ❯

stakeholders to test bold ideas quickly and effectively Translate insights into concept pitches, MVPs and business cases for internal buy-in Champion a culture of curiosity, experimentation, and continuous learning Track and share learnings across the company to inform product and strategy decisions Build and evolve lean frameworks for innovation processes, including discovery and validation S kills and Experience … to move ideas from an idea or concept, to MVP Passion for future trends, emerging tech, and spotting what's next before its obvious An understanding of AI/ML fundamentals, including supervised & unsupervised learning, LLMs, generative models, etc. Demonstrable data literacy skills, ability to manipulate and interpret datasets unaided, including experiment results Strong technical grounding, able to comfortably More ❯

curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. EIT is seeking a Product Manager to join the Applied ML team at Ellison Institute of Technology, as we set up our Data Science and Engineering organization and begin the journey of enabling various programmes and opportunities within EIT through the … disparate technical and domain expertise to a single purpose/vision This person would interface directly with our Product Leadership, as well as number of technical (e.g., Data Science, ML Ops), business and operational leads (within the programmes) and own the product strategy, feature definition, and development timelines for products that support programme or Applied ML objectives. Key Responsibilities: Define … and shepherd holistic Applied AI/ML product strategy and delivery in alignment with broader programme, business or research priorities including: Working with programme business leads to identify opportunities for applied AI/ML product and set the product vision and strategy in alignment with the programme mission Act as a link between technical team (e.g., data scientists, data engineers More ❯

products. The teams responsibility spans end-to-end from document collection flows customer have to go through to submit their data, to automated review using external vendors or internal ML models, to tooling our agents use, and finally the whole lifecycle of the collected information. Having product-focused and forward-thinking engineers has allowed Wise to cater to the needs … all Wise platforms. Collaboration is at the heart of what we do—we value ownership, knowledge sharing, and a commitment to building stable, scalable systems while embracing fast-paced learning and iteration. What will you be working on: This engineer will be one of the most senior in the team, delivering impact beyond individual contributions. They will be responsible … mindset—you take initiative to improve our codebase, architecture, and processes. A passion for mentoring and knowledge sharing—you enjoy helping junior engineers grow and fostering a culture of learning within the team. Additional Information What do we offer: £105,000 - £130,000 Wise Benefits Interested? Find out more: How we work – a practical guide Wise Tech Stack More ❯

market You may be a good fit if you: Have 5+ years of technical or technical sales recruiting experience, ideally within GTM organizations at enterprise software or AI/ML companies Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills Understand the technical requirements of roles working with LLMs, APIs, cloud … to transform recruiting practices while maintaining a human-centered approach Strong candidates may also have: Direct experience recruiting for pre-sales/solutions engineering roles in the AI/ML space Demonstrated success working within GTM recruiting organizations during periods of hypergrowth Expertise in developing specialized recruiting practices within broader team structures Familiarity with the challenges of deploying AI systems … many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation More ❯

Head of Engineering Location: Milton Keynes (2 days a week in office) Salary: £80,000 Engineering - QA - Cloud Operations - SaaS - Leadership - Azure - AWS - GCP - Architecture - AI/ML An established software provider is seeking an experienced Head of Engineering to lead their product engineering organisation through a major SaaS and AI transformation. With 25+ years in the market and over … Experience with large-scale platform migrations and mixed in-house/outsourced QA Understanding of SRE, Infrastructure as Code, and cloud operations Desirable Experience in regulated sectors AI/ML implementation experience Multi-cloud operations knowledge Background in mission-critical enterprise software and API-first platforms Head of Engineering Location: Milton Keynes (2 days a week in office) Salary … Engineering - QA - Cloud Operations - SaaS - Leadership - Azure - AWS - GCP - Architecture - AI/ML More ❯

transformation Previous experience in business case creation is essential Experience in mapping business pain to technology solutions and operating model changes. With a specific focus around data, analytics, AI & ML Able to document strategic roadmaps and build investment cases for transformational change in highly regulated enterprise customers Build and execute multi-stream transformation programmes Experience of delivering change agendas across … initiatives and global market expansion Flexible working policy to ensure you work where you work best and deliver great outcomes for our clients Drive your development with a personal learning budget (Mentors, Career Framework, Delivery forums, Lunch & Learns) Want to know more? Get in touch with - Otherwise apply here. More ❯

or jump into a debugging session, but you lead through technical clarity, simplicity, and conviction. Key Responsibilities Lead and grow a multi-disciplinary engineering organisation across Experience, AI/ML, Data, and Cloud platforms, each designed to operate as part of a cohesive architecture. Set the engineering vision: define what "world-class" means in reliability, scalability, and developer experience. Build … . Strong software fundamentals: you can still review code, assess complexity, and spot risk before it hits production. Depth in one or more of: distributed systems, data engineering, applied ML, or high-performance front-end systems. You value simplicity, documentation, and craftsmanship. Empathy for users and engineers alike, you build teams where great engineers stay and grow. Why Join JAAQ More ❯