1 to 25 of 114 Permanent MLOps Jobs in England

and requirements for deploying their work into production. Develop and enhance mechanisms and processes to streamline the integration of causal AI models into the MLOps workflow, customizing it to suit causality. Design and implement tools, visualizations, and mechanisms that empower data scientists to deploy their work into production autonomously, reducing … dependencies on additional teams or assistance. Work directly on integrating key elements of MLOps workflow with causal AI capabilities, ensuring robustness, scalability, and efficiency. Act as a subject matter expert on processes and best practices, providing guidance and support to data scientists on deployment and monitoring. Collaborate with cross-functional … significant exposure to deploying machine learning models into production. Strong proficiency in Python for both machine learning engineering and data science tasks. Experience with MLOps practices, including model deployment, monitoring, version control, and CI/CD pipelines. Proven experience in data pipelining, system architecture, and design for scalable and reliable more »

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 »

Job Title: NLP Engineer/MLOps Engineer (NOT REMOTE) About INTELLITHING: INTELLITHING is a cutting-edge technology company dedicated to pushing the boundaries of innovation in the fields of machine learning and artificial intelligence. We are seeking a talented and motivated Junior to Mid-Level LLMOps/MLOps Engineer to … Azure cloud services, and are excited about the world of distributed computing, we want to hear from you. Position Overview: As a LLMOps/MLOps Engineer at INTELLITHING, you will be an integral part of our machine learning operations team. You will work closely with our data scientists, software developers … learning infrastructure. - Contribute to backend development tasks as needed, enhancing the overall system's functionality. - Monitor and troubleshoot issues related to NLP Engineer and MLOps infrastructure. - Stay up-to-date with industry trends and emerging technologies in NLP Engineer/MLOps . Qualifications: - Bachelor's degree in Computer Science, Data 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 REMOTE £70,000 - £90,000 COMPANY: A cutting-edge London-based startup specializing in transforming how financial professionals access and utilise data is seeking an experienced AI Developer/MLOps Engineer with LLM experience to join their team. With a strong focus on AI-driven automation and analytics 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 »

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 »

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 »

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 »

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 »

rollout and continuous improvement. - Establish best practices, standards, and processes for ML model development, validation, and production deployment, leveraging cloud infrastructure (AWS, Azure) and MLOps principles. - Develop and implement robust performance metrics and KPIs to measure the success and impact of ML and LLM initiatives, ensuring alignment with business objectives … science teams, fostering a culture of innovation and collaboration. - Extensive experience in cloud-based ML model deployment, leveraging infrastructure-as-code (IaC) principles and MLOps best practices. - Experience working in regulated industries, with a strong understanding of data privacy, security, and compliance requirements (e.g., GDPR, EU AI legislation). - Proven 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 »

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 »

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 »

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 »

About Us: MetrixLab is a fast-growing global market research and insights company that’s challenging the status quo of insights. By blending evolving technology with passionate experts, MetrixLab helps global and local brands to drive more impact, and forges 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 »

Science/Machine Learning domains: • Advanced statistical modelling. • Machine learning/deep learning. • Computer vision. • Natural language processing. • Machine Learning Engineering. • Machine Learning Operations (MLOps). • Ethical AI. Working with a range of tools such as: • Data Science languages e.g. Python and development tools e.g. Git, Jira, BitBucket. • Machine Learning 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 »

Biotechnology firm is looking for an MLOps Platform Engineer to join their GPU Engineering team and work on their ML models. You'll work closely with ML Engineers and Data Scientists to provide a reliable infrastructure that supports rapid model development, training, and deployment. Your expertise will contribute to the … evaluate and incorporate new technologies and tools to enhance the ML platform Essential Experience: Bachelors degree in Computer Science, Engineering, or a related discipline MLOps role experience with solid understanding of managing ML infrastructure and pipelines Excellent knowledge of Kubernetes (K8s) infrastructure and its application in managing ML workloads Strong 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 »

𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Engineer (Python/AI/LLMs/Tensorflow/MLOps/Sagemaker/AWS) London/Outside IR35/6 month contract/£600 - £700 per day numi are currently partnering with an AI focused product company company based in Central London who require a Machine Learning Engineer … in touch with details on the client and what they're looking for. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Engineer (Python/AI/LLMs/Tensorflow/MLOps/Sagemaker/AWS) London/Outside IR35/6 month contract/£600 - £700 per day more »

a leader in generative AI technologies, who have recently secured Series A funding to advance our work in digital avatars and human clones. Role: MLOps Engineer Location: London Salary: Up to £100,000 Responsibilities: Develop ML Pipelines: Build and maintain scalable data processing systems. Ensure data quality and integrity. Automate more »

data architectures which deliver value and provide end-to-end data solutions. Create scalable data processing pipelines and platforms, and productionise machine learning models (MLOps). Mentoring, Educating & Growing: Advise, educate and help grow customers and colleagues alike on various data related topics. Guide, teach and provide space for OCers 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 »