101 to 125 of 837 Machine Learning Jobs in the South East

analytics assets (e.g., Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space Build and design HCP precision engagement … architectures, and validation processes to ensure defensibility, scalability, and transparency across client engagements 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics Strong technical expertise across Python, SQL, advanced analytics, machine learning ...

Sciences customers across European markets Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space Build and design … validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics Strong problem-solving and communication skills, with a track record of collaborating effectively across ...

Sciences customers across European markets Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space Build and design … validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics Strong problem-solving and communication skills, with a track record of collaborating effectively across ...

secure development and deployment of AI solutions.Assist with security assessments and risk reviews of commercial AI platforms, AI-enabled products, generative AI solutions, machine learning models, and internally developed AI capabilities.Support short-term, mid-term, and long-term AI-related initiatives and projects across Agilent.Collaborate with enterprise architects … related field.8+ years of experience in cybersecurity, information security, cloud security, application security, security engineering, or related disciplines.3+ years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives.Strong understanding of cybersecurity principlesExperience evaluating security risks associated with commercial SaaS platforms, cloud services, and emerging ...

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 ...

unlock the potential of Generative AI by tapping into real-world expertise from across the globe. If you join the platform as a Machine Learning expert, you ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational STEM … Master s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field. You have at least 5 years of Machine Learning experience with proven business impact. Strong programming skills in Python (numpy, pandas, scipy, sklearn). Your level of English is advanced ...

unlock the potential of Generative AI by tapping into real-world expertise from across the globe. If you join the platform as a Machine Learning expert, you ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational STEM … Master s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field. You have at least 5 years of Machine Learning experience with proven business impact. Strong programming skills in Python (numpy, pandas, scipy, sklearn). Your level of English is advanced ...

computational approaches to solve complex biological challenges. In this role, you will collaborate with scientists across Crop Protection Research, developing and deploying bioinformatics tools, machine learning models, and data workflows that generate insights from diverse biological datasets—directly supporting the development of safer, more sustainable agricultural solutions. … Guide scientists on data quality, integrity, and suitability for analysis. Collaborate across the Bioscience Digital team and wider R&D data community to share learning and drive innovation. Monitor external scientific and computational developments and identify opportunities for application within Bioscience. QualificationsMSc/PhD in computational biology, data science ...

goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational STEM problems … Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field. You have at least 5 years of Machine Learning experience with proven business impact. Strong programming skills in Python (numpy, pandas, scipy, sklearn). Solid understanding of numerical methods and computational algorithms. ...

join a growing Data & AI practice, helping enterprise organisations modernise their data estates, define technology strategy and establish the foundations for advanced analytics, machine learning and AI. This is a strategic architecture role focused on defining future-state platforms, establishing architectural standards and guiding organisations through complex data … data platforms Establishing governance, security, metadata and data management frameworks Leading architecture assessments, discovery workshops and strategic engagements Creating scalable architectures that support analytics, machine learning and AI capabilities Advising senior stakeholders on technology investments and transformation initiatives Defining architecture standards, design patterns and best practices Supporting cloud ...

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 ...

emerging technologies. Key Responsibilities Design, develop and implement AI solutions for customers and internal business requirements Identify opportunities where AI, automation and machine learning can improve business processes Integrate AI technologies into existing IT environments and managed service solutions Work with Microsoft and cloud-based AI technologies, APIs … comfortable working in a customer-facing Managed Service Provider environment. Ideally, you’ll have: Proven experience working as an AI Engineer, AI Consultant, Machine Learning Engineer or similar Practical experience implementing AI solutions within an MSP or managed service environment Strong understanding of Generative AI, LLMs ...

cognitive function and brain injury, including applications to sports-related injuries and broader clinical contexts. Projects may involve leveraging large-scale imaging datasets, integrating machine learning techniques to identify novel imaging markers, and exploring imaging markers of microvascular damage and blood-brain barrier disruption. The specific focus will … acquisition, image reconstruction, signal modelling and/or advanced image analysis . Proven ability to work with large imaging datasets , including the application of machine learning or advanced statistical methods. Advantageous skills include MRI pulse sequence programming , conducting imaging studies, expertise in blood-brain barrier evaluation ...

pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

Code (Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama ...

training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during … helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product ...

training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during … helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product ...

training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during … helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one . We expect you to have a good understanding of ML but on the other side to be a good ...

will investigate how the spatial properties of coherent optical fields can be measured, predicted and controlled, combining experimental photonics with numerical modelling and modern machine-learning and optimisation techniques. The research will include coherent beam combination, programmable beam shaping, optical propagation modelling, experimental control of phase and amplitude … development of computational methods for optical inference and optimisation. Depending on the research direction, approaches may include deep learning, reinforcement learning, differentiable modelling and inverse design. You will implement and evaluate these methods using experimental optical systems and work towards their application in high-power fibre-laser arrays. ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML … teams by enabling efficient data loading, dataset management, and cloud-based training workflows. You'll work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data ...

have worked in robotics or logistics before. What matters is that you are strong on fundamentals - 3D geometry, signal processing, computer vision, or machine learning - and motivated by the challenge of making perception systems work reliably in messy, real-world environments. Offices based in Wallingford, Oxford but open … contexts Exposure to MLOps tooling - experiment tracking (MLflow, W&B), dataset versioning, model deployment Academic or project work in robotics, autonomous systems, or applied ML Interest in warehouse logistics, supply chain, or industrial automation Benefits Starting from the interview process and continuing into your career with us, you will ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning ...