26 to 50 of 112 Permanent MLOps Jobs in England

Data Science (Neo4j, Vector embeddings a plus) Responsibilities: Develop and maintain code for new feature release Foster a devops mindset and develop new GenAI MLops frameworks Promote best engineering practices within the team If you hit the above criteria and this sounds interesting to you apply!! Thanks, Chloe more »

commercial setting too! Essentials: 5+ years experience as a Data Scientist Proven expertise with deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is more »

command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent in utilizing Linux, Docker, AWS, Kafka, and git Consistent practice of best software development methodologies more »

to-end data pipelines, for training, evaluating and deploying ML modelsWorking closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructureDriving best practices in a fast paced environment, within a well established companyYour Skills and Experience:MSc or PhD level education in STEM subjects.Strong experience more »

special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD and ideally post-doctoral or more »

part of a team PREFERRED BUT NOT REQUIRED: Experience with Spark or dbt Experience in deploying production systems on multiple cloud platforms Familiar with MLOps principles and practices in a production setting COMPENSATION/BENEFITS: Competitive salary + equity 30 days annual leave + UK bank holidays Learning Budget of 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 »

with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray Experience with hyperparameter optimization solutions Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data pipeline tools Experience as an ML educator and/or building and executing customer training more »

My client, a Software Development Consultancy, are looking for an Azure Machine Learning Engineer with Active SC Clearance for an initial 6 month engagement. Key Skills Required: Excellent knowledge of Azure technologies for Machine Learning and AI Solid understanding of more »

Introduction Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely 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 »

machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning Applications development life cycle processes and tools - MLOps, including building ETL data pipelines. Cutting-edge approaches to Machine Learning, including transformer models, diffusion models, and adversarial machine learning. Experience in fine-tuning off more »

machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning Applications development life cycle processes and tools - MLOps, including building ETL data pipelines. Cutting-edge approaches to Machine Learning, including transformer models, diffusion models, and adversarial machine learning. Experience in fine-tuning off more »

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 »

help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Life Sciences 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 Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong experience in data pipelines and deploying ML models Preference for experience in 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 »

tasks. Conduct thorough exploratory data analysis to gain insights into text data characteristics and develop effective pre-processing strategies. Collaborate with data engineers and MLops Engineers to integrate NLP models into our data pipelines and systems. Evaluate and benchmark different NLP algorithms, knowledge graph frameworks, and LLM architectures, and recommend … reports, visualizations, and presentations. Collaborate with cross-functional teams to define project goals, requirements, and success metrics. Engage in collaborative efforts with Enterprise Architects, MLOps Engineers to trial use cases and deliberate on architectural configurations. Mentor and provide guidance to junior team members, fostering their growth and development in NLP. more »

DevOps/MLOps Engineer Location: Hybrid (Leicester) Salary: up to £60,000 + Benefits Investigo is currently seeking a DevOps/MLOps Engineer for one of its large manufacturing clients. In this exciting role, you will join a dynamic and expanding team, playing a critical role in the strategic DevOps … working with cross-functional with Data Scientists, Software Engineers, and DevOps team members for efficient model development, testing, and deployment. The successful DevOps/MLOps engineer will have the following skills: 1+ years working as a DevOps Engineer Proven experience in DevOps/MLOps with a focus on deploying and 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 »

infrastructure environments to allow the deployment and scaling of their AI Products and Machine Learning models. So you will step into the world of MLOps! You will work across IaC, CI/CD, containers and more - being able to contribute to the cutting edge technology culture. You will get to more »

to haves includes: Kubernetes, Docker, BigQuery, Cloud, Databases Interest in FinTech Data Engineer Responsibilities: Creating new data pipelines Implementing automated data pipelines and overseeing MLOps processes to streamline the workflow of the Data Scientists Examine code from fellow engineers, contribute to the establishment of best practices, and design patterns for more »

to optimize infrastructure costs, increase operational efficiency, and enhance overall reliability and performance. Stay updated on emerging technologies and best practices in DevOps and MLOps to recommend and implement innovative solutions. KEY REQUIREMENTS: Proven experience building and automating cloud systems (DevOps Engineer, Site Reliability Engineer), preferably on AWS. Hands-on 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 »