151 to 175 of 287 MLOps Jobs in London

Senior MLOps Engineer - Hybrid/Dundee Salary up to £70,000 We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role … and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and More ❯

innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with More ❯

experience building APIs supporting analytics, research, or actuarial functions in an insurance environment. Proficiency with cloud technologies such as Snowflake, Databricks, and familiarity with MLOps frameworks. Exhibit strong collaboration, problem-solving, and communication skills, with the ability to adapt to changing priorities and simplify complex problems. More ❯

model training and evaluation that power transformative healthcare applications. Collaborating closely with Data Scientists and Engineers, you'll 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 More ❯

modelling techniques Experience of leading delivery of the end-to-end lifecycle of AI models, including development, deployment, monitoring, and maintenance, including knowledge of MLOps practices An understanding of ethical consideration in AI, with the ability to role model their importance with business partners Knowledge of banking data architecture and More ❯

cloud automation and orchestration using tools such as CloudFormation or Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving - Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining - Set up model drift More ❯

and a direct role in delivering both capital and business-as-usual (BAU) projects on time and within budget. Experience in Machine Learning Operations (MLOps) and AI is a plus. KEY ACCOUNTABILITIES Drive simple, standardized, and innovative ways to ingest, process, store, and analyze various data sources Design, implement, and More ❯

for LLM and agentic AI systems. Articulating value and ROI from AI investments and translating them into strategies. Optimizing AI/ML lifecycle including MLOps and LLMOps principles. Ability to communicate AI/GenAI value to non-technical audiences. Developing and executing go-to-market strategies around AI services. Familiarity More ❯

collaborate with a highly skilled team of engineers and data scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world optimization problems, building high-performance ML infrastructure, and working with autonomous agent simulations, this is your … learning models, with a strong focus on reinforcement learning (RL) and multi-agent systems to optimize fleet behavior in dynamic environments. Implement and improve MLOps pipelines to support continuous training, deployment, monitoring, and scaling of machine learning models in production. Collaborate with data engineers and software developers to ensure seamless … programming skills, with a strong emphasis on writing efficient, scalable, and maintainable code. Proven experience with TensorFlow/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data processing. Proficiency with cloud More ❯

arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries … iterating fast Excellent communication and self-management skills Nice To Have Familiarity with agentic frameworks, orchestration tools, or vector databases Background in DevOps/MLOps or platform engineering Passion for building something from scratch and seeing the impact of your work in production What We Offer Competitive salary with equity More ❯

arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries … iterating fast Excellent communication and self-management skills Nice To Have Familiarity with agentic frameworks, orchestration tools, or vector databases Background in DevOps/MLOps or platform engineering Passion for building something from scratch and seeing the impact of your work in production What We Offer Competitive salary with equity More ❯

arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries … iterating fast Excellent communication and self-management skills Nice To Have Familiarity with agentic frameworks, orchestration tools, or vector databases Background in DevOps/MLOps or platform engineering Passion for building something from scratch and seeing the impact of your work in production What We Offer Competitive salary with equity More ❯

customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific use cases. Deploy MLOps pipelines together with our ML engineers. Work closely with data engineers, fellow data scientists/AI engineers and consultants to ensure seamless integration and deployment … Direct availability to start working in the UK. Nice to have: Experience with natural language processing (NLP) or computer vision (CV). Knowledge of MLOps and model deployment pipelines. Familiarity with AI ethics and responsible AI principles. Experience working with large datasets and distributed computing. Contributions to open-source AI More ❯

Senior MLops (Full Stack) Engineer | London | Foundation Models What you’ll do Build and maintain APIs (FastAPI or similar) to serve ML models Design and manage robust ML infrastructure using Kubernetes, Docker, and Terraform Deploy machine learning models into production and optimize them for performance Collaborate with ML teams to More ❯

Senior MLops (Full Stack) Engineer | London | Foundation Models What you’ll do Build and maintain APIs (FastAPI or similar) to serve ML models Design and manage robust ML infrastructure using Kubernetes, Docker, and Terraform Deploy machine learning models into production and optimize them for performance Collaborate with ML teams to More ❯

We're a transformation consultancy and we exist to reimagine how enterprises operate, making data and AI their competitive advantage. We turn enterprises into data-driven and AI enabled organisations, unleashing business growth and accelerating outcomes. We have big ambitions More ❯

develop best practices across MLOps. Rate: £750 per day Outside IR35 Term: 6 months rolling Location: London City, 3 days hybrid Requirements: Experience in MLOps (DataOps, Model Ops, ML Flow) Strong DevOps (CI/CD) Experience with Azure Databricks Strong Python programming Strong SQL Experience with LLM & GenAI Strong AI More ❯

develop best practices across MLOps. Rate: £750 per day Outside IR35 Term: 6 months rolling Location: London City, 3 days hybrid Requirements: Experience in MLOps (DataOps, Model Ops, ML Flow) Strong DevOps (CI/CD) Experience with Azure Databricks Strong Python programming Strong SQL Experience with LLM & GenAI Strong AI More ❯

develop best practices across MLOps. Rate: £750 per day Outside IR35 Term: 6 months rolling Location: London City, 3 days hybrid Requirements: Experience in MLOps (DataOps, Model Ops, ML Flow) Strong DevOps (CI/CD) Experience with Azure Databricks Strong Python programming Strong SQL Experience with LLM & GenAI Strong AI More ❯

develop best practices across MLOps. Rate: £750 per day Outside IR35 Term: 6 months rolling Location: London City, 3 days hybrid Requirements: Experience in MLOps (DataOps, Model Ops, ML Flow) Strong DevOps (CI/CD) Experience with Azure Databricks Strong Python programming Strong SQL Experience with LLM & GenAI Strong AI More ❯

develop best practices across MLOps. Rate: £750 per day Outside IR35 Term: 6 months rolling Location: London City, 3 days hybrid Requirements: Experience in MLOps (DataOps, Model Ops, ML Flow) Strong DevOps (CI/CD) Experience with Azure Databricks Strong Python programming Strong SQL Experience with LLM & GenAI Strong AI More ❯

MLOPS ENGINEER LONDON - HYBRID £80,000 - £95,000 This is a great opportunity for an MLOps engineer from a DevOps background with ML experience to drive cutting-edge work at a data-driven retail tech start-up! ROLE: In this role you will: Design, deploy and scale on their cloud … data working closely with the Computer Vision team Deploying APIs and packages Stay updated on emerging technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business value. Tech stack: Python, AWS/GCP, Docker, CI/CD, Deep Learning, Kubernetes, DevOps REQUIREMENTS … MSc in a numerical or relevant field is preferred MLOps experience is required An excellent understanding of DevOps processes and techniques Happy working in a fast-paced environment Any experience working with computer vision engineers is a bonus! How To Apply Please register your interest for this role by sending More ❯

MLOPS ENGINEER LONDON - HYBRID £80,000 - £95,000 This is a great opportunity for an MLOps engineer from a DevOps background with ML experience to drive cutting-edge work at a data-driven retail tech start-up! ROLE: In this role you will: Design, deploy and scale on their cloud … data working closely with the Computer Vision team Deploying APIs and packages Stay updated on emerging technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business value. Tech stack: Python, AWS/GCP, Docker, CI/CD, Deep Learning, Kubernetes, DevOps REQUIREMENTS … MSc in a numerical or relevant field is preferred MLOps experience is required An excellent understanding of DevOps processes and techniques Happy working in a fast-paced environment Any experience working with computer vision engineers is a bonus! How To Apply Please register your interest for this role by sending More ❯

CD pipelines (GitHub Action and/or Jenkins) Prior project focused work with SageMaker and Jupyter Notebooks is critical Knowledge and experience working in MLOps driven environments This position can offer £600-700 p/day, inside IR35, for an initial 3 month contract, and operates a remote working model More ❯

CD pipelines (GitHub Action and/or Jenkins) Prior project focused work with SageMaker and Jupyter Notebooks is critical Knowledge and experience working in MLOps driven environments This position can offer £600-700 p/day, inside IR35, for an initial 3 month contract, and operates a remote working model More ❯