176 to 200 of 295 MLOps Jobs in London

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 ❯

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 ❯

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 ❯

and other tools like SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. … Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your More ❯

and other tools like SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. … Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your 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 ❯

decision-makers at all levels. Qualifications and Experience Proven experience in leading data science and AI teams in a global, matrixed organisation. Strong understanding of AI/ML lifecycle, MLOps, and responsible AI principles. Expertise in data visualisation, particularly with Power BI, and a passion for storytelling with data. Demonstrated ability to influence senior stakeholders and drive cross-functional initiatives. More ❯

wide data governance, including lineage, quality, and controls. Provide scalable tooling for BI, reporting, and self-service analytics across the organisation. Enable ML/AI capabilities through robust pipelines, MLOps practices, and model monitoring. Ensure compliance with data privacy and financial regulations (e.g., GDPR, PSD2). Foster a high-performing data engineering team with strong culture, mentoring, and career paths. More ❯

and deployment workflows Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation Automation – building scripts and utilities to streamline and optimize operations Data Engineering/DevOps/MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems Must-Have Skills: Strong programming skills in Python with ability to write modular and maintainable code Solid understanding of data structures … or containerization (Docker) Awareness of analytics tools (e.g., Power BI, Tableau), dashboards, or reporting pipelines Experience with automation scripts, data wrangling, or internal tooling Basic understanding of DevOps or MLOps workflows and CI/CD pipelines Eligibility BE/B.Tech or equivalent –2025 pass-outs Academic background in CS/IT/ECE/EE/Math or other technical More ❯

and deployment workflows Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation Automation – building scripts and utilities to streamline and optimize operations Data Engineering/DevOps/MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems Must-Have Skills: Strong programming skills in Python with ability to write modular and maintainable code Solid understanding of data structures … or containerization (Docker) Awareness of analytics tools (e.g., Power BI, Tableau), dashboards, or reporting pipelines Experience with automation scripts, data wrangling, or internal tooling Basic understanding of DevOps or MLOps workflows and CI/CD pipelines Eligibility BE/B.Tech or equivalent –2025 pass-outs Academic background in CS/IT/ECE/EE/Math or other technical More ❯

use cases, and translate business needs into AI/ML solutions. Develop, test, and optimize AI models, ensuring they align with business goals and regulatory requirements. Work closely with MLOps engineers and the wider Tech and Data teams to deploy production-ready solutions. Stay ahead of industry trends, particularly in Data Science, NLP, and GenAi advancements, and share insights across … NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with big data tools such as Hadoop, Spark, and Hive. Familiarity with CI/CD and MLOps frameworks for building end-to-end ML pipelines. Proven ability to lead and deliver data science projects in an agile environment. Excellent stakeholder management and communication skills to bridge the 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 ❯

Job Description Depop is looking for a versatile Senior Machine Learning Scientist to join our Search & Ranking team in the UK. As part of the team, you will work alongside a Product Manager, Backend Engineers, and other ML Scientists, playing 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 ❯