176 to 200 of 308 MLOps Jobs in England

Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail Have More ❯

next generation of automotive software development. The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software development across areas such as Cloud, Compute Frameworks, MLOps, Observability and Build Infra. RESPONSIBILITIES: Work on high-impact projects and innovate new solutions to problems in the self-driving space Work with Computer Vision and Machine Learning engineers on More ❯

a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt evaluation, and dataset curation Familiarity with MLOps tools (e.g. Weights & Biases, SageMaker, MLflow) Experience working in regulated sectors like insurance, banking, or property What You'll Be Doing This is a hands-on, high-impact role - you More ❯

AI agents using LLMs - that are designed, optimised and applied at scale Design robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed. Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor. Articulate intricate technical concepts and strategic decisions clearly and effectively to More ❯

everything from lit. review, through training and evaluation, to optimisation and deployment. Design and develop robust and efficient C Rust software for multi-sensor, multi-target tracking & estimation problems MLOPS - build and maintain automated, scalable infrastructure to manage our data and run our experiments Design experiments, data collection efforts, and curate training/evaluation sets to develop insights both for More ❯

production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a MLOps Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists … have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a MLOps Engineering Manager at Trainline you will Build a new team of MLOps Engineers working alongside ML Engineers, Data Engineers, Software Engineers, Data Scientists and Product Managers Define MLOps processes and … modelling and evaluation techniques. Have experience with Cloud infrastructure (ideally AWS), DevOps technologies such as Docker or Terraform and CI/CD processes and tools. Have previously worked with MLOps tools like MLFlow and Airflow, or on common problems such as model and API monitoring, data drift and validation, autoscaling, access permissions Have previously worked with monitoring tools such as More ❯

production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a MLOps Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists … have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a MLOps Engineering Manager at Trainline you will... Build a new team of MLOps Engineers working alongside ML Engineers, Data Engineers, Software Engineers, Data Scientists and Product Managers Define MLOps processes and … modelling and evaluation techniques. Have experience with Cloud infrastructure (ideally AWS), DevOps technologies such as Docker or Terraform and CI/CD processes and tools. Have previously worked with MLOps tools like MLFlow and Airflow, or on common problems such as model and API monitoring, data drift and validation, autoscaling, access permissions... Have previously worked with monitoring tools such as More ❯

AI model requirements, data governance, and validation frameworks. Technology Leadership for AI Solutions: Provide senior technical and management oversight for technology teams specializing in AI/ML model development, MLOps, data engineering, and the integration of AI components into production systems. Ensure scalable, robust, and performant AI architectures. AI Integration & Innovation: Drive the identification, evaluation, and strategic integration of state … on experience with AI/ML concepts, algorithms, and practical application. Proven track record of leading the development and deployment of complex AI models into production environments. Familiarity with MLOps principles, modern AI/ML frameworks (e.g., TensorFlow, PyTorch), and cloud-based AI platforms. Investment Banking Acumen: Strong understanding of Investment Banking products, deal lifecycles, advisory processes, and regulatory landscapes. More ❯

departmental strategies to ensure solutions deliver measurable impact across the business Build and maintain robust AI/ML pipelines from data ingestion through to production deployment Apply AIOps/MLOps/ModelOps best practices: version control, CI/CD, model monitoring, automated testing, and reproducibility Stay on top of emerging AI tools, frameworks, and research; contribute to R&D and … is in the Python ecosystem Skilled in core Data Science practices including data preprocessing, feature engineering, model evaluation, data orchestration, and data structures, etc Hands-on with AIOps/MLOps/ModelOps tooling (Docker, Kubernetes, MLflow, model monitoring, CI/CD) Experience integrating AI/ML solutions into business processes and operational systems Ability to work closely with stakeholders, translating More ❯

Tools Develop dashboards using React or similar frameworks. Lead on System Design, Performance Tuning, and Reliability What We're Looking For Approximately 5+ years of professional experience in systems, MLOps, and cloud-native engineering. What You'll Be Doing Architect and build scalable APIs using FastAPI (or similar), Python, and modern backend frameworks. Design and maintain infrastructure for ML model More ❯

ETL/ELT pipelines using Spark, Python, SQL, and Databricks workflows Integrate with Azure services and BI tools (e.g., Power BI) Optimise performance and support CI/CD and MLOps pipelines Enable knowledge transfer through code reviews, training, and reusable templates Key Skill s: In-depth experience with Databricks (Delta Lake, Unity Catalog, Lakehouse architecture). Strong knowledge of Azure More ❯

these AI products. You will be building tools for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. You'll have worked as a Machine Learning Engineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise More ❯

these AI products. You will be building tools for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. Youll have worked as a Machine Learning Engineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise with More ❯

of machine learning, creating tools for model training and evaluation that power transformative healthcare applications. Collaborating closely with Data Scientists and Engineers, youll produce advanced AI solutions while optimizing MLOps processes to drive efficiency and impact. The ideal candidate will bring experience as a Machine Learning Engineer or Data Scientist, preferably within the healthcare, biotech, or pharmaceutical space. Strong Python More ❯

ready. Key Responsibilities Build machine learning models for forecasting, propensity scoring, and segmentation Own workflows from data wrangling and feature engineering through to deployment and monitoring Operationalise models using MLOps tools in a cloud-native environment Architect datasets by merging structured and semi-structured data Work closely with engineers, product managers, and clients to align models with business needs Present More ❯

ready. Key Responsibilities Build machine learning models for forecasting, propensity scoring, and segmentation Own workflows from data wrangling and feature engineering through to deployment and monitoring Operationalise models using MLOps tools in a cloud-native environment Architect datasets by merging structured and semi-structured data Work closely with engineers, product managers, and clients to align models with business needs Present More ❯

assess and onboard new AI systems. - Evaluate solutions for compliance with internal policies and external regulations. Security & DevSecOps Integration: - Integrate AI security controls into CI/CD pipelines and MLOps workflows. - Monitor AI systems using Azure Monitor and Application Insights. Policy Implementation & Regulatory Alignment: - Translate regulatory requirements into actionable engineering guidelines. - Ensure compliance with transparency, data minimization, and incident response More ❯

assess and onboard new AI systems. - Evaluate solutions for compliance with internal policies and external regulations. Security & DevSecOps Integration: - Integrate AI security controls into CI/CD pipelines and MLOps workflows. - Monitor AI systems using Azure Monitor and Application Insights. Policy Implementation & Regulatory Alignment: - Translate regulatory requirements into actionable engineering guidelines. - Ensure compliance with transparency, data minimization, and incident response More ❯

your AI field. • You have a publication record. •You have a strong interest in fine-tuning and using language models for applications. • You are able to navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage • You have experience in Audio/Speech experience - audio input/out, NLP etc Note that this More ❯

cross-functional teams Passionate about solving complex and challenging data problems Experience in designing and conducting A/B experiments Nice to have Experience with recommendation systems Familiarity with MLOps tools/practices Experience in consumer-facing mobile-first products Why join Muzz? We're a profitable Consumer Tech startup, backed by Y Combinator (S17) and based in London . More ❯

everything from lit. review, through training and evaluation, to optimisation and deployment. Design and develop robust and efficient C Rust software for multi-sensor, multi-target tracking & estimation problems MLOPS - build and maintain automated, scalable infrastructure to manage our data and run our experiments Design experiments, data collection efforts, and curate training/evaluation sets to develop insights both for More ❯

advanced analytics techniques, machine learning approaches, and modern pricing tools. ML Engineering Integration: Partner with ML Engineering to elevate model sophistication, overseeing integration with Radar API and ensuring smooth MLOps deployment pipelines. Leadership & Mentoring: Support and mentor junior analysts, sharing knowledge and promoting best practices across the team. Who are you: We know we have high expectations, so please don … and deliver meaningful change end-to-end Excellent communication and stakeholder skills, with the ability to present technical insights clearly to non-technical audiences Nice-to-have Familiarity with MLOps and development best practice, including production-grade model design and deployment, version control (e.g. Git), code reviews, CI/CD pipelines, unit testing, and collaborative workflows such as Agile. Experience More ❯

we looking for? Good experience working with Python & SQL Domain knowledge in customer & marketing - LTV, churn, segmentation, etc. Ability to build machine learning models in Python Production & deployment skills, MLOps Candidates must be based in the UK. Unfortunately we cannot offer sponsorship for this hire. Interested? Apply More ❯

we looking for? Good experience working with Python & SQL Domain knowledge in customer & marketing - LTV, churn, segmentation, etc. Ability to build machine learning models in Python Production & deployment skills, MLOps Candidates must be based in the UK. Unfortunately we cannot offer sponsorship for this hire. Interested? Apply More ❯

plus Demonstrated experience building APIs to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Required Skills Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Resilient problem solving and critical thinking skills Ability to More ❯