176 to 200 of 1,155 Machine Learning Jobs in the South East

Lead ML Engineer - UAV Defence Scale-up - London Darwin Recruitment have partnered exclusively with a true leader in the Autonomous UAV sector across Europe. We've already helped them to scale-up their AI teams and they are not slowing down! They now have a fantastic opportunity for a Lead Machine Learning Engineer to lead a growing team … of Engineers with the focus of designing, developing and deploying ML models that underpin their real time intelligence UAV solutions. This will (at least initially) be a 50/50 hands on vs leadership/strategy role. Previous tech/team leadership of small to medium size teams is a MUST. Flat structure without all the politics that get in … at the table and influence strategic decision making. Experience of Interest: Bachelors, Masters or PHD in Computer Science, Engineering, Robotics or similar. Industry experience of ideally 5+ years within ML development and deployment. Tech & Team leadership of small to medium size teams. Experience of the UAV/Drone/Autonomous Systems sector. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

Principal Software Engineer – GenAI and ML Up to £80k + Bonus Hybrid - Basingstoke (3 days in office per week) We are looking for a Principal Software Engineer to define and deliver the next phase of AI for our client. This role combines deep expertise in GenAI with strong hands-on experience in classical machine learning. You will play a … key role in building internal AI tools, integrating scalable ML systems, and shaping how AI is used across the business. Responsibilities Lead the development of GenAI solutions including LLMs, embeddings, and retrieval-based systems Design, build, and support internal platforms that help engineering teams adopt AI effectively Guide the adoption of classical machine learning models that address practical … strategy of the AI platform What You Will Need Hands-on experience with Generative AI technologies such as LLMs, prompt engineering, and vector-based search Strong foundation in traditional ML techniques such as regression, classification, and clustering Proficiency in both TypeScript and Python for building robust applications and tools Knowledge of MLOps practices, CI/CD pipelines, and software delivery More ❯

Summary We are hiring a AI & Data Science Lead to head our AI Centre of Excellence. This role consolidates responsibilities across Generative AI (GenAI) , traditional Machine Learning (ML) , and early-stage Data Science . You will shape and deliver the technical strategy for our AI initiatives, while also acting as a hands-on engineer, mentor, and leader. You … will be responsible for delivering high-impact GenAI use cases, establishing core AI platform capabilities, supporting a Machine Learning Engineer on classical ML projects, and building the foundation for a future Data Science function. You will also define LLMOps and MLOps practices and ensure the infrastructure is in place to support long-term AI success across the business. … Key Responsibilities: Strategy & Leadership Collaborate over the AI roadmap across GenAI, ML, and Data Science. Lead the AI Centre of Excellence, managing a growing team of AI engineers. Represent AI in senior product, engineering, and vendor forums. Generative AI Delivery Lead design, prototyping, and deployment of GenAI use cases (e.g. co-pilots, AI agents, RAG systems). Establish scalable LLMOps More ❯

needs and analytics goals. Use AWS tools like Amazon Redshift, Athena, EMR, and QuickSight for data analysis. Create data pipelines and ETL processes for data integration. Apply statistical and machine learning techniques for analysis and modeling. Develop KPIs and dashboards to aid decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality … Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, Python/… R/Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and big data technologies. Knowledge of AWS ML services like SageMaker, Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and deadline-oriented. Compensation: This is an equity-only position More ❯

AI/ML Data Science Developer Location: Hybrid Hertfordshire (preferred) or London Start Date: August 2025 Contract Length: 6 Months Initially (TBC) Rate: Competitive DOE, inside IR35 Are you passionate about pushing the boundaries of AI and Machine Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project … driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and … tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ML and data science development. Proficient in Python, R, and relevant ML frameworks/libraries (e.g. More ❯

implement advanced computer vision algorithms using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into complete systems. Track the latest … learning frameworks (e.g., PyTorch, TensorFlow). Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS). Experience with building and maintaining end-to-end ML pipelines. Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related discipline. Strong communication skills and an ability to collaborate effectively with technical and non-technical teams. This More ❯

AI era, with research outputs expected to be published in top conferences and contribute to Fujitsu’s business advancements. Mentoring interns and junior researchers to foster a culture of learning and innovation. Your Transferable Skills and Experience To be suitable for this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have … Proven expertise in machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

office Guildford, Surrey in 2025. This is your chance to join their AI team as a Senior Software Engineer , where you’ll help architect, build and scale AI/ML driven software solutions that serve critical industries including energy, mining, finance, healthcare, and more. ? The Role As a Senior Software Engineer within their newly formed AI team, you'll play … a key role in delivering production-grade AI/ML systems, championing best practices, and mentoring junior engineers. You’ll collaborate with cross-functional teams, including AI/ML Engineers, Data Scientists, and Domain Experts, to take projects from concept through to deployment. Key Responsibilities: ? Software Engineering Build scalable, secure, containerised systems (Docker/Kubernetes) Develop APIs and services in … Engineering (experience not essential - nice to have) Develop robust data pipelines (batch + streaming) Work with time-series and unstructured data Enable RAG systems and industrial data monitoring Support ML model lifecycle and on-prem MLOps (DevOps experience is essential) Contribute to feature store design, model governance, and versioning ? You’ll Need 5+ years in software engineering roles 2+ years More ❯

analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for diverse data sources into AWS. Apply statistical and machine learning techniques for predictive, prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards and visualizations with Amazon QuickSight. Perform exploratory data analysis … Scientist, preferably with AWS analytics services. Proficiency in AWS analytics tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and … statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation This is an More ❯

analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for analysis, clustering, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. … Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools … and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS ML services like SageMaker, Comprehend. Understanding of data governance and security in AWS. Excellent communication and collaboration skills. Attention to detail and quality delivery. Compensation: This is an equity-only position More ❯

the teams building the foundational data platform for one of the UK’s best known ecommerce companies. You’ll help scale data infrastructure that powers real-time decision-making, machine learning, experimentation, and analytics - supporting millions of users. Location: London surrounds (once a week in office ideally) Salary: £150k+ pro … rata What you’ll do Manage and mentor two data infrastructure squads, covering batch and real-time pipelines, data observability, and governance Collaborate with Product, Engineering, Data Science and ML teams to align platform capabilities with business needs Define and own the roadmap for scalable, privacy-aware, and resilient data systems Promote engineering best practices and long-term system sustainability More ❯

needs, and analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for analysis and pattern recognition. Create KPIs and dashboards to facilitate decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture … Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools, data modeling, ETL, and data warehousing. Skills in statistical analysis, machine learning, and programming languages like Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Understanding of social media … analytics and user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS machine learning services such as SageMaker and Comprehend. Experience with data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and deadline management. Compensation This is an equity-only position, offering a 1% stake in the company, providing More ❯

Employment Type: Full-time and Permanent Remuneration (London; On-site): £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team; however, a background in Machine Learning is not required. This is an applied role, seeking a software … with both technical and non-technical stakeholders. We acknowledge that no candidate checks every box—passion for solving complex challenges and willingness to learn are valued. Nice to have: Machine Learning: Experience with generative models, LLMs, multi-modal models, and Deep Learning. Open-source: Contributions to open-source projects. Startup experience: Experience working in startup environments. Experience in More ❯

with teams. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Create dashboards and KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with … as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL databases, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social … media analytics and understanding user behavior. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation This is an equity-only position, offering a 1% stake in More ❯

vehicle's safe decision-making processes are transparent and predictable. Your Role Play a pivotal role taking the Shield Perception "code to road". Work closely with Oxa's ML Perception Model Factory team to support development, integration, deployment and validation of the components they develop. Provide fast and meaningful feedback from our deployments to aid our validation lifecycle, including … vehicle's safe decision-making processes are transparent and predictable. Your Role Play a pivotal role taking the Shield Perception "code to road". Work closely with Oxa's ML Perception Model Factory team to support development, integration, deployment and validation of the components they develop. Provide fast and meaningful feedback from our deployments to aid our validation lifecycle, including … make in advance of commencing the interview process with us. Learn more about our culture here Why become an Oxbot? Our team of engineers, mathematicians and experts in AI, machine learning and much else is truly world-class. They are solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have More ❯

Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and implement data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Collaborate … especially with AWS analytics tools. Strong proficiency in AWS services like Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, machine learning, and data mining. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL databases, and data visualization tools. Strong analytical and problem-solving skills. Experience with … social media analytics and user behavior analysis. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security best practices in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an equity-only role, offering a More ❯

Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

analytics team. This role is perfect for a recent graduate (2:1 or above in Computer Science, Data Science, AI, or a related field) who has a passion for machine learning and artificial intelligence. You’ll have the chance to apply the skills you’ve gained during your studies to develop advanced models and data solutions that directly … initiative, and expertise to design innovative approaches and solve complex problems. Key Responsibilities Build clean, robust, and scalable data pipelines in collaboration with the data team. Develop and test machine learning models that support and enhance business operations. Identify and explore how AI can be used to improve efficiency and drive innovation. Assist with ad-hoc data requests … or higher degree in Computer Science, Data Science, AI, or a related discipline. Strong numerical and statistical knowledge (e.g. Bayesian/frequentist methods, probability distributions). Solid understanding of machine learning algorithms (e.g. linear/logistic regression, random forests, neural networks, time series models). Experience with multiple programming languages — with Python and SQL preferred. Interest or familiarity More ❯

of our foundational data platform - encompassing experimentation frameworks, event ingestion pipelines, data lakes, governance frameworks, data observability, and real-time analytics capabilities. You will collaborate closely with data scientists, machine learning engineers, backend engineers, and product leaders to ensure our data systems are scalable, secure, observable, and foster innovation across the organization. Key Responsibilities Partner with cross-functional … event logging, batch and real-time data infrastructure, observability, and governance. Define and drive the technical roadmap for a modern data platform, enabling reliable, scalable, and efficient analytics and machine learning workflows. Promote engineering best practices, emphasizing long-term maintainability, system performance, and privacy by design. Champion robust data governance and observability practices across the organization. Attract, grow … to balance long-term vision with near-term execution. Exceptional communication and collaboration skills, with the ability to influence technical and non-technical stakeholders alike. Bonus Qualifications Experience with machine learning infrastructure and MLOps practices. Familiarity with event-driven architectures, particularly in mobile-first environments. Background in fashion, marketplaces, or sustainability-focused technology sectors. JBRP1_UKTJ More ❯

of our foundational data platform - encompassing experimentation frameworks, event ingestion pipelines, data lakes, governance frameworks, data observability, and real-time analytics capabilities. You will collaborate closely with data scientists, machine learning engineers, backend engineers, and product leaders to ensure our data systems are scalable, secure, observable, and foster innovation across the organization. Key Responsibilities Partner with cross-functional … event logging, batch and real-time data infrastructure, observability, and governance. Define and drive the technical roadmap for a modern data platform, enabling reliable, scalable, and efficient analytics and machine learning workflows. Promote engineering best practices, emphasizing long-term maintainability, system performance, and privacy by design. Champion robust data governance and observability practices across the organization. Attract, grow … to balance long-term vision with near-term execution. Exceptional communication and collaboration skills, with the ability to influence technical and non-technical stakeholders alike. Bonus Qualifications Experience with machine learning infrastructure and MLOps practices. Familiarity with event-driven architectures, particularly in mobile-first environments. Background in fashion, marketplaces, or sustainability-focused technology sectors. JBRP1_UKTJ More ❯

of our foundational data platform — encompassing experimentation frameworks, event ingestion pipelines, data lakes, governance frameworks, data observability, and real-time analytics capabilities. You will collaborate closely with data scientists, machine learning engineers, backend engineers, and product leaders to ensure our data systems are scalable, secure, observable, and foster innovation across the organization. Key Responsibilities Partner with cross-functional … event logging, batch and real-time data infrastructure, observability, and governance. Define and drive the technical roadmap for a modern data platform, enabling reliable, scalable, and efficient analytics and machine learning workflows. Promote engineering best practices, emphasizing long-term maintainability, system performance, and privacy by design. Champion robust data governance and observability practices across the organization. Attract, grow … to balance long-term vision with near-term execution. Exceptional communication and collaboration skills, with the ability to influence technical and non-technical stakeholders alike. Bonus Qualifications Experience with machine learning infrastructure and MLOps practices. Familiarity with event-driven architectures, particularly in mobile-first environments. Background in fashion, marketplaces, or sustainability-focused technology sectors. More ❯

and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader in financial crime and compliance at industry events, conferences, and … client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering innovative business solutions to complex challenges. Expertise in compliance frameworks and AI applications. Experience in More ❯

analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for … analytics services. Strong proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data analysis. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics … and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS machine learning services such as SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an equity-only position, offering a 1% stake in a More ❯