101 to 125 of 197 MLOps Jobs in London

Resources is seeking an experienced professional for a high-impact MLOps role focused on building end-to-end ML pipelines in a fast-growing audio AI product company. You will work closely with audio ML researchers and DSP engineers to implement monitoring, build CI/CD pipelines, and ensure reproducibility ...

practices Developing long-term relationships with candidates from leading AI research labs and companies Typical Roles You’ll Recruit For Research Engineers Research Scientists MLOps Engineers Data Scientists AI/ML Engineers What We’re Looking For Proven experience in recruiting for Data, AI, or highly technical domains Strong track ...

LLMs and tools such as LangChain or similar ecosystems * Expertise in building applications including chatbots, document processing, or agent based systems * Solid understanding of MLOps, scalable architecture, and deployment best practices * Comfortable working in ambiguous, greenfield environments with high autonomy * Strong stakeholder engagement skills, with experience influencing senior leaders What ...

science projects. Deliver ML models with agreed engineering standards to ensure that our capabilities are resilient, scalable and future‐proof. Enhance our AWS‐native MLOps platform, and guarantee high availability and low‐latency inference for our models. Bring energy and positivity to the role, looking for every opportunity to learn ...

internal capability Bonus Points For Prior experience in business development or pre‐sales within a consultancy environment Hands‐on familiarity with modern data science, MLOps or AI operationalisation Knowledge of data ethics, AI governance or analytics operating models Change management or business analysis experience within large transformation programmes Confidence ...

internal and selected external technical forums where appropriate, contributing to knowledge sharing and continuous improvement. Operations, Maintenance, Support and Documentation Leads the implementation of MLOps practices within their area, supporting efficient model deployment, monitoring and lifecycle management. Ensures that CI/CD practices are applied to AI/ML workflows … Demonstrates strong practical experience with Azure‐based AI services, including Azure OpenAI, AI Search and AI Studio. Well‐versed in modern machine learning approaches, MLOps practices and cloud‐based AI architectures. Proficient in Python, common machine learning frameworks, distributed processing concepts and core MLOps practices. Experience designing APIs, building microservices ...

technical standards and ensure solutions are production ready. Key responsibilities include: Building and deploying machine learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally … data driven application development Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficial What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with two days ...

/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing … culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience ...

emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the businessDrive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelinesCollaborate with enterprise platform and data science teams, contributing … engineers, fostering a culture of continuous learningWhat we're looking forDeep expertise in Python and ML engineeringDeep expertise in ML/AI systems design, MLOps, and cloud-native architecturesTrack record of leading ML/AI technical initiatives across multiple teamsStrong experience with cloud platforms (AWS, Azure, GCP)Experience with ...

About the Role This role is based at Depixen’s London Office . Depixen is a London-based technology company building the digital decision infrastructure of the construction industry. As a corporate member of the ...

UTA seeks a Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible ...

About Us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing ...

MLOps Platform Manager (Databricks) London £550-£650 Outside IR35 Per Day Fully Remote Start date: ASAP The Company They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform … estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work. The Role and Deliverables Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance ...

Backend Software Engineer/Developer (Python LLM MLOps) London/WFH to £90k Are you an experienced Backend Software Engineer with strong Python skills and a good knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including ...

Backend Software Engineer/Developer (Python LLM MLOps) London/WFH to £90k Are you an experienced Backend Software Engineer with strong Python skills and a good knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including ...

across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership role with ...

Azure AI services) Lead the productionisation and industrialisation of AI use cases across business functions Manage hybrid teams combining internal engineers, AI Ops/MLOps capability, and third-party delivery partners Partner with senior stakeholders to drive AI adoption, value realisation, and organisational change across a complex enterprise environment ...

infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream up an idea ...

deep learning concepts, possibly in application to computer vision, NLP, or speech synthesis or recognition. Experience with data preprocessing and model evaluation. Familiarity with MLOps tools is a plus. Strong analytical skills and ability to work in a collaborative, fast‐paced environment. What We Offer Real ML work from ...

create real commercial leverage Skills and Experience Proven leadership in defining and delivering enterprise AI strategy, including GenAI Strong understanding of AI platforms, MLOps, and modern AI tooling (without needing to be hands-on) Experience translating AI opportunities into commercially impactful use cases at scale Exceptional communication, influence, and stakeholder ...

biological plausibility, calibration, and model reliability Collaborating closely with computational biologists and research scientists to integrate models into discovery workflows Driving best practices across MLOps, experimentation infrastructure, and model deployment What They're Looking For Essential 5+ years experience building advanced machine learning systems in production Strong background in deep ...

plausibility, manufacturability, and therapeutic relevance Collaborating with computational immunologists, protein scientists, and wet-lab teams to validate model outputs Driving best practices across experimentation, MLOps, model deployment, and platform engineering Mentoring senior engineers and helping shape the long-term ML strategy of the company What They're Looking For Essential ...

experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector You have experience leading full‐stack technology teams, backed by a solid grasp ...

data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands‐on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE … systems that support analytics, ML workloads, and real‐time operations Create API‐first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high‐performing engineering teams Set standards for code quality, security, and performance ...