51 to 75 of 275 Machine Learning Jobs in the South West

technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including … within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. ...

Your leadership and expertise will help us deliver reliable, scalable solutions that transform how we serve our clients. Job Summary: As an Applied AI ML Director in the International Consumer Bank (ICB) team, you will drive the end-to-end delivery of high-impact AI and machine learning … ensure production-ready deployments. Your role combines technical depth, people leadership, and strong delivery discipline. You will help shape our Applied AI/ML strategy and foster a culture of excellence and innovation. Job Responsibilities: Own end-to-end AI delivery, partnering with the business to identify use cases ...

values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile … Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate ...

engineering in collaboration with senior technical customers and cross-functional teams.The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation … itWhat we’re looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow ...

challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable … Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high-performance analytical environments. Contribute to DevSecOps and cloud ...

advisor to CxOs.You will work closely with client technology leadership, business stakeholders, delivery teams, and partners to drive transformation across data platforms, advanced analytics, machine learning, and AI‐enabled services.Your responsibilities: Define and own enterprise AI Data architecture vision and roadmap, aligned to business strategy and regulatory obligations. … banking or financial services. Strong understanding of data architecture (data lakes, lakehouse, data warehouses, streaming, metadata, governance). Hands‐on experience with AI/ML/GenAI architectures, including model lifecycle management and MLOps. Experience designing solutions on cloud platforms (AWS, Azure, GCP), including native data and AI services. Solid ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

delivery of secure, scalable and resilient AWS environments.· AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.· AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services. … management, observability and operational readiness.· Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.· Helping clients design and deliver AI-enabled solutions on AWS using services such ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

advanced hardware and software to accelerate demanding workloads across AI, cryptography, and high-performance computing. This is a high-impact opportunity for an applied Machine Learning engineer to build simulation environments, frameworks, and tools that help shape the future of computing. What they're looking for: 10+ years … memory architectures Experience with software testing, validation, and verification Ability to write technical specifications, test plans, and documentation Familiarity with AI/ML, HPC, or cryptography workloads (nice to have) Experience with Rust, CI/CD, Jenkins, Git, or performance analysis (nice to have) Why consider it: Significant ownership ...

that sit at the heart of cutting-edge technology.You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make … rigorous, quality-focused approach to problem-solving and developmentEssential Skills & Experience: Mathematical modelling, analysis, or problem-solvingNumerical simulation or data analysisData science, including machine learning techniquesSoftware development (ideally Python or similar)A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similarConfidence working with ...

heart of cutting-edge technology. You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make a real impact. … focused approach to problem-solving and development Essential Skills & Experience: Mathematical modelling, analysis, or problem-solving Numerical simulation or data analysis Data science, including machine learning techniques Software development (ideally Python or similar) A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similar ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting Role Overview As the Head of Complaints , you will hold a pivotal leadership position … Crime . You will be at the heart of our mission to make consumer finance faster, cheaper, and friendlier. By championing the benefits of learning from complaint outcomes across the business, you will lead the strategic direction of our complaints department across multiple product lines. This is more than ...

embedded C development experience and some embedded linux kernel configuration and development experience. Anyone with low-level driver development or video/machine learning application development would be of interest. Responsibilities include developing or modifying Linux drivers for the embedded platforms and developing Linux video and machine learning applications. Great salary, hybrid working and visa support available. Get in touch with Emma Windows at IC Resources. ...

solutions from concept through to implementation Translate unclear requirements into robust technical designs Build solutions using Python, cloud and modern data technologies Apply AI, machine learning and automation to operational challenges Support digital-twin, data-platform and engineering-application development Lead technical delivery and engage confidently with senior … security and governance requirements What we need Strong data, digital or solution-architecture experience Hands-on Python and data engineering capability Experience with AI, machine learning, automation or digital twins Background in engineering, infrastructure, defence or another complex regulated environment Proven ability to take loosely defined problems through ...

solutions from concept through to implementation Translate unclear requirements into robust technical designs Build solutions using Python, cloud and modern data technologies Apply AI, machine learning and automation to operational challenges Support digital-twin, data-platform and engineering-application development Lead technical delivery and engage confidently with senior … security and governance requirements What we need Strong data, digital or solution-architecture experience Hands-on Python and data engineering capability Experience with AI, machine learning, automation or digital twins Background in engineering, infrastructure, defence or another complex regulated environment Proven ability to take loosely defined problems through ...

Title: AI/ML Engineer Designation: Data Scientist Job Summary: We are seeking a skilled AI/ML Engineer with a strong foundation in Artificial Intelligence and Machine Learning (AIML) and software development. The ideal candidate will be proficient in Python and have hands-on experience with Generative ...

Computer Science, Artificial Intelligence, or a related field. Experience with LLM agents, autonomous multi-step reasoning systems, meta-learning, or self-improving ML pipelines. Experience with large-scale data pipelines (e.g., Apache Beam) or foundation model training and fine-tuning at scale. Experience working in research environments or track … record of published research in relevant AI/ML conferences. Domain experience in life sciences, drug discovery, cybersecurity, or developer tools/coding agents. Responsibilities: Design and build the self-improving meta-agent framework-scaffolding, diagnostic tools, and feedback loops across science, cybersecurity, and coding agents. Deploy, monitor, and improve ...

projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...