101 to 125 of 342 Machine Learning Jobs in the South East

Startup Mindset: Proactive, resourceful and comfortable taking ownership in a fast-moving engineering environment. Bonus : with Apache Airflow, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial-market systems. Benefits An Ambitious, Collaborative Culture: Join a close-knit team with the pace, openness and shared ...

readiness.## Your Skills and Experience* Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.* Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms, and intelligent automation technologies.* Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.* Strong problem … solving, analytical, and strategic thinking skills.* AI/Cloud certifications (Azure AI Engineer, Azure Solutions Architect, AWS AI/ML, Google Cloud AI, etc.).**Key Competencies*** AI Strategy & Vision, articulation abilities* Solution Architecture, solutioning approach, client communication* Generative AI & LLMs, SLMs, Industry trends, and AI project delivery expertise* Business ...

readiness. Your Skills and Experience Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field. Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms, and intelligent automation technologies. Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud. Strong problem … solving, analytical, and strategic thinking skills. AI/Cloud certifications (Azure AI Engineer, Azure Solutions Architect, AWS AI/ML, Google Cloud AI, etc.). Key Competencies AI Strategy & Vision, articulation abilities Solution Architecture, solutioning approach, client communication Generative AI & LLMs, SLMs, Industry trends, and AI project delivery expertise Business ...

factories. What you'll be doing Develop and deploy Industry 4.0 and IoT solutions , including smart tooling, vision systems, automation and real-time machine monitoring. Design solutions for device connectivity, sensor integration and industrial data management . Work with manufacturing teams to identify opportunities for new digital technologies … take solutions from concept through to deployment. Support existing automation, IoT, machine and environmental monitoring solutions. Work with technology vendors and partners to evaluate and implement new hardware and software. Support applications, software updates and device configuration. What we're looking for Experience deploying technologies such as Smart Tooling ...

systems integration Event-driven and service-oriented architecture Data platforms, analytics and business intelligence Data governance, quality, lineage and master data Artificial intelligence, machine learning and automation Identity and access management Cybersecurity, privacy and compliance DevOps, DevSecOps and platform engineering Containers, Kubernetes and infrastructure as code Enterprise service ...

over WebSockets Implement SSO, OTP and session/JWT auth, and integrate with Microsoft 365, CRMs and document stores Work with the AI/ML team to ship LLM-powered features, including UX that investment professionals can trust and audit (citations, provenance, approve flows) Ship and operate on AWS with ...

business challenges across customer behaviour, risk, and pricing. What You'll Do · Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments. · Shape the Platform: Collaborate with Data Engineering and Analytics to build reproducible pipelines and integrate workloads into a Unified, AI-powered … Excellence: Monitor live model performance, guard against data drift, and champion best practices in MLOps. What You Bring ·Proven experience building and iterating on ML models in a commercial setting. ·Expert-level Python skills (pandas, NumPy, scikit-learn, etc.) and strong statistical grounding. ·Experience working within cloud or modern data ...

Systems Administrator to join the Department of Engineering Science at the University of Oxford, working within the newly established The British Open-ended Learning and Discovery (BOLD) Lab, a major new UK Research and Innovation (UKRI) funded initiative that will establish a world-leading AI research laboratory … other job scheduling systems Experience with containerisation and virtualisation technologies Knowledge of cloud computing platforms Familiarity with scientific computing tools and AI/ML research workflows Experience supporting research software or academic computing environments Knowledge of high-performance file systems such as BeeGFS or Lustre The Department holds an Athena ...

security policies and data protection requirements Our main requirements: Evidence of continuing professional development in software engineering, Python development, and/or AI/ML Experience developing, integrating and supporting AI-enabled solutions, including generative AI, machine learning or LLM-based services Software engineering skills with the ability ...

Digital Limited is seeking a Machine Learning Engineer to design, deploy, and operate AI/ML systems in production. You will work across the full ML lifecycle, from data prep to model serving, with a focus on reliability and observability. You will collaborate with multidisciplinary teams, leverage modern ...

Aioi R&D Lab – Oxford is seeking a Senior Machine Learning Engineer to translate research into robust, production‐ready ML services within a privacy‐sensitive, multi‐partner environment. You will set ML engineering and MLOps direction for CODAS workstreams and lead how research gets built, tested, and shipped. ...

helping to build a future that works better for everyone. We move at pace, because what we're building matters - and we're learning as we go. We're proud of the progress we've made, but we're just getting started. Join us at the heart … Data modelling, Data warehousing or analytics engineering, with a strong understanding of data modelling concepts. Exposure to Data Vault 2.0 and an interest in learning Data Vault methodologies would be advantageous. Good understanding of modern data platforms, Lakehouse architecture, cloud technologies and data warehousing concepts. Expertise working with enterprise ...

role across Surrey and Greater London. This is a hands-on opportunity to help develop and optimise a Databricks data platform that supports analytics, machine learning and artificial intelligence across the business. Key Responsibilities: Design, build and enhance a secure, scalable and reliable Databricks platform Develop and maintain … days Annual leave allowance, bank holidays and an additional day off for a birthday Summer working hours and flexible working arrangements Access to learning platforms, professional development courses and structured career progression Private medical insurance, healthcare support and mental health services Home workspace assessment to support a safe ...

Formula 1 lifecycle, from aerodynamic development and simulation through to trackside decision‐making and race strategy. We bring together software engineering, data science, machine learning, and DevOps expertise to deliver performance‐focused solutions. As a Senior Software Engineer, you'll play a key role in the design … values simple, effective solutions and continuous improvement. Adaptable and resilient, able to manage competing priorities and deliver high-quality outcomes. Committed to continuous learning and sharing knowledge with others. Approachable and professional, with the ability to build strong working relationships across a range of stakeholders. Additional Information Success ...

satellite, sonar or other real-world sensing systems Familiarity with MATLAB, Simulink, Python, Perl or MathCAD Understanding of digital twins, autonomous systems, artificial intelligence, machine learning, augmented or virtual reality and the Internet of Things Knowledge of the defence industry, including relevant UK government strategy and geopolitical influences ...

technical specialists while you develop skills in: Using statistics to understand data and test ideas Presenting data clearly using charts, dashboards and visual tools Machine learning and artificial intelligence, which help computers find patterns and support decision-making Programming using tools such as Python ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

Infrastructure Engineering, Penetration Testing). Experience in infrastructure, application, and AI security (e.g. container security, secure code reviews, secure integration of generative AI/ML). Practical experience leveraging and applying the SABSA (Sherwood Applied Business Security Architecture) framework to design business‐driven, risk‐aligned enterprise security architectures. Recognised industry ...

Intact Insurance is actively seeking a Machine Learning Engineer to design and operate production-ready ML systems. You will collaborate with Data Scientists and engineers to shape the ML roadmap, build scalable pipelines, and drive innovation while growing your career. You’ll contribute across feature engineering, model training ...

gauge the validity of synthetic results; developing LLM-guided adaptive experimental designs to enable the implementation of optimal treatments on-the-fly; implementing representation learning and text-as-data pipelines, employing learned representations of complex data for downstream (econometric) models; working closely with team members (data scientists, software engineers … faculty) to adapt code used for data wrangling, machine learning, and optimisation to the specific needs of projects; and contributing to the workshops and conference programme through which the platform reaches the wider research community. The successful candidate will hold an advanced degree in Computer Science, Engineering, Statistics ...

will join the Machine Learning team and report to the Leader of Engine Development, collaborating with game engineers and researchers to deploy ML models into EA's games. Responsibilities include designing end-to-end ML execution on multiple devices, scaling models for on-device performance, and integrating ML ...

Learning Engineers for hybrid, fixed-term roles through end of 2027, with potential permanence. You will design, deploy and operate privacy-focused ML systems within a multidisciplinary team, contributing to the CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/ ...

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

engineering standards. Your Responsibilities: Design and build robust services(APIs,CLI toolsand software modules)that power scientific applications and products. Bridge diverse components, integrating ML inference servers, hardware interfaces, and data pipelines into cohesive systems, while ensuring high availability and low latency. Own the full production path—from architectural design … implementing and deploying robust, scalable distributed systems in production. Demonstrated experience designing, managing, and orchestrating complex systems involving scalable data infrastructure, hardware interfaces, and machine learning models. Expertise in defining and exposing functionality via clean, well-documented APIs (e.g., REST, gRPC). Proven experience implementing and managing robust ...

hiring a Machine Learning Scientist to help build a privacy‐preserving generative AI ecosystem for regulated deployment. You’ll work on ML services, data pipelines and live deployments, collaborating with CODAS and partners to translate research into dependable, scalable systems. We value a strong ML research background, Python ...