51 to 75 of 90 MLOps Jobs in the UK

enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for more »

Warehouse concepts Champion Data Compliance and Data Governance Experience working with Azure Cloud Experience incorporating and integrating AI and ML components Experience in DataOps, MLOps and AIOps Frameworks Proficiency in SQL and NoSQL Proficiency in Python Experience in Data Visualisation Tools such as Tableau, PowerBI, etc. Familiarity with containerisation and more »

for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors more »

to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Telecoms, MLOps, CI/CD, Software Engineering more »

MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior more »

and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior more »

to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Telecoms, MLOps, CI/CD, Software Engineering more »

manner. Develop automated processes for predictive model validation, deployment, and implementation. Influence the AI/ML stack like Feature Stores, Model Stores, and automated MLOps to maximize value from LLMs. Connect and collaborate with subject matter experts in different business areas. Make impactful contributions to internal discussions on emerging machine more »

Extensive familiarity with CI/CD platforms and best practises, including GitHub Actions. Nice to have: * Data Bricks setup using Terraform experience. * Experience of MLOps and DataOps. * Experience of using container technologies, cloud platforms (ideally AWS), and distributed processing frameworks like Spark and Dask. * Experience in Javascript application development and more »

a team NICE TO HAVES Distributed machine learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow) Productionisation experience on multiple clouds Familiarity with MLOps principles and practices, and their application in a production setting COMPENSATION/BENEFITS : £100k salary (or more depending on experience) + equity 30 days annual more »

MLOps Engineer £70,000-£80,000 Hybrid in London (1-2 days a week) One of La Fosse’s clients that are a leading financial services company with a focus on technological advancement, delivering cutting-edge services in a rapidly evolving industry are looking to hire an MLOps Engineer into … their team. This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine learning models in production environments. … security. If this role looks of interest and you feel you fit some of the requirements, apply through the Ad to find out more! MLOps Engineer more »

solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. Great people skills will be also vital in the role. You will be working with, and expected to influence, colleagues more »

options, generous paid leave, and trips abroad #WhatWillYouBuild Why We Need This Role We are looking for a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting … data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and the platform engineering team. We need this role to keep … on development, deployments, monitoring and maintenance from the Intelligent Systems team. The role is needed to effectively plan and execute the roadmap for the MLOps team accounting for data science and product stakeholders, infrastructure and cost constraints. Support the definition of service architectures for new services while continuously working towards more »

end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast paced environment, within a well established company Your Skills and Experience: MSc or PhD level education in STEM more »

RLHF), as well as optimised training procedures (e.g. QLora & Adapters) Comfortable with the machine learning lifecycle from research to deployment. This includes all things MLOps - model development, validation, deployment and monitoring Familiarity with state of the art NLP - text embeddings (representation learning), vector databases, large language models, machine translation, intent more »

Senior MLOps Engineer £80,000-£110,000 Hybrid in London – 1/2 days a week. La Fosse have partnered with an exciting InsurTech business which delivers innovative technology and data-driven solutions. They’re seeking a seasoned Senior MLOps Engineer to join our dynamic team and drive the evolution … of our machine learning operations. As a Senior MLOps Engineer, you will play a critical role in designing, implementing, and optimizing the MLOps infrastructure to support the deployment and management of machine learning models at scale. This is an exciting opportunity to lead MLOps initiatives that will shape the future … of insurance technology. Responsibilities: Lead the design and implementation of MLOps infrastructure and processes to support the end-to-end lifecycle of machine learning models. Develop automated pipelines for model training, testing, deployment, and monitoring. Establish best practices for versioning, reproducibility, and scalability in ML workflows. Collaborate with cross-functional more »

methods Ensure that all ML-based infrastructure is in the best possible state. Requirements Commercial experience working as an ML Engineer model deployment) or MLOps/Data Science Engineer role. End to end "full stack" ML experience in AWS Strong Python coding skills CI/CD experience Ideally some Time more »

deployment. Solid understanding of SDLC and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do more »

MLOps Engineer Up to 100k Hybrid - London 2/3 days a week My Client is a global luxury retailer looking for an MLOps Engineer to join their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of … reliability of the ML systems. Apply software engineering principles Work cross functionally across the business What you need to succeed: Strong background as a MLOps Engineer, Platform Engineer or Devops Engineer Must have experience working on ML infrastructure using Docker and Kubernetes Minimum of 3 to 5 years experience Extensive more »

deployment. Solid understanding of SDLC and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do more »

MLOps Engineer (London – visit the office x3 days a week) Xcede are delighted to be working with a very exciting scale-up Tech Product organisation. With a fledgling Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps … decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or platform. Some experience of deploying recommendation engines/recommender systems more »

ll be working closely with Data Scientists and Software Engineers to develop and productionise a greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other details: Up to £650 per day outside IR35 more »

application. These include ingesting and understanding new data sources, evolving our data approach (e.g., to a fully fledged data fabric), implementing containers to streamline MLOps and exploring how we can sensibly and safely utilise artificial intelligence (AI) to turbo charge our work (e.g., smart data quality monitoring, meta data curation … desirable Utilising AI within data engineering to drive performance. Knowledge of implementing, managing and utilising graph databases (e.g., using technologies such as Neo4j). MLOps experience including familiarity with Docker and Kubernetes. Full data engineering cycle knowledge (tools and skills) for stream data. Benefits Competitive salary and rewards package including more »

Realtime are extremely proud to be partnering with a global tech leader on their search for an experienced Machine Learning Engineering Manager to lead their agile ML Engineering team here in Belfast. This team are providing word class machine learning more »

Senior MLOps Engineer Contract 4-6 months Fully Remote Start Mid March - 1st April latest We have a need to hire a Senior MLOps Engineer on a 4-6 months contract for a growing Biotechnology company. Your primary responsibilities will include: • Designing and implementing an innovative platform architecture for machine … Working closely with data scientists to comprehend their requirements and ensuring a seamless workflow for model development and deployment. Required Skills Proven experience in MLOps and deploying machine learning models on Kubernetes. Proficiency in cloud technologies, AWS, GCP, Azure Experience with data orchestration tools (e.g., Apache Airflow). Familiarity with more »