1 to 25 of 31 Machine Learning Jobs in Watford

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

Role Summary We are seeking a creative and skilled AI Engineer to help drive Unlinks mission of transforming justice services through advanced AI and machine learning. You will work on meaningful, high-impact projects—like predictive analytics for offender risk, behavioural monitoring, secure communications enhancement, and operational optimization—ensuring … nature of justice services. Person Specification Must-Have: Degree in Computer Science, AI, Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...

guidance to junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing ...

have exceptional coding skills, ideally with Python and/or TypeScript You're genuinely excited about working with LLMs, Computer Vision and Machine Learning You're not afraid of putting in the work; you'll be offered generous equity on top of your salary You consider yourself ...

specific training pathways that are fully government funded. Our track record (proof we can deliver) Originated at Imperial College London, where we founded the Machine Learning Society with DeepMind sponsorship and educated 6,000+ students pro bono. Selected by NVIDIA to deliver specialised training via their Deep Learning … provision. Your mandate is to protect outcomes (for learners and employers), protect funding (ESFA rules and audit readiness), and raise the bar on teaching, learning, assessment, and operational rigour so that quality scales as we scale. This is a role for someone who can operate with high autonomy ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative … effectively. Requirements Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field. 5+ years of experience in data science and machine learning. Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

application, and technology architectures Ensure scalability, security, and resilience across infrastructure and software platforms Innovation & Transformation Identify opportunities to leverage emerging technologies (AI/ML, IoT, cloud-native, etc.) across the group Identify and drive modernisation initiatives such as microservices adoption, cloud migration and others. Collaboration & Leadership Partner with leaders … wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

solutions that support decision-making across Defence, Government and Public Sector clients. You'll join a people-first, innovation-driven culture where collaboration, continuous learning, and professional growth are encouraged. Every idea matters. You'll help set technical standards, influence project direction, and contribute to a data engineering community … public-sector data programmes. Familiarity with data standards, compliance, and data-governance frameworks. Experience in data analytics and visualisation. Demonstrable interest in ongoing learning, research, and adopting new technologies. Benefits: Competitive total compensation package ( TC ) Opportunity to support high-impact Defence and Public-Sector programmes Professional development and training ...

APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security, and governance. Provide input on data architecture. Qualifications 5+ years of experience in data engineering, including significant experience … Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models ...