Experience: Experience in implementing production machine learning systems in a commercial environment. DevOps Knowledge: Good knowledge of DevOps in a Data Science context (e.g., MLOps) is a plus. Why Join Us? Innovative Environment: Work with cutting-edge technology in a dynamic and innovative environment. Impactful Work: Contribute to the safety more »
Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute to the growth of the AI team 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 »
models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live models (monitoring MLOps and model performance) and taking initiative to refit and calibrate to latest experience to continue to deliver optimal business value Work closely with other Data 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 »
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 »
Experience: Experience in implementing production machine learning systems in a commercial environment. DevOps Knowledge: Good knowledge of DevOps in a Data Science context (e.g., MLOps) is a plus. Why Join Us? Innovative Environment: Work with cutting-edge technology in a dynamic and innovative environment. Impactful Work: Contribute to the safety 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 »
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 »
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 »
a proven track record of implementing and productionizing these models in large scale industrial settings. Demonstrated understanding of the limitations of selected methods. Solid MLOps practices include good design documentation, unit testing, integration testing and source code control (git). Exposure to Deep Learning applications and tools like TensorFlow, PyTorch more »
Clerkenwell, England, United Kingdom Hybrid / WFH Options
IO Associates Careers
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 Looking for a 'Full Stack Data Scientist' profile Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong knowledge of data 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 »
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 »
Birmingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
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 »
Brighton, England, United Kingdom Hybrid / WFH Options
15gifts
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 »
will be the Senior Product Manager for a group of cross-functional Data Platforms teams within Oxa, incorporating the following key teams: Data Engineering; MLOps; Replay/Simulation as a Service; and Telemetry & Metrics. These teams are located in both our Oxford, UK HQ & Toronto, CA offices and support the more »
A fantastic opportunity has arisen for an experienced professional to join a distribution market leader as DevOps/MLOps Engineer at their site based in Leicester. You will work a hybrid role, with 3 days at home and 2 days in the office, working core hours Monday to Friday. As … a DevOps/MLOps Engineer you will be operationalising machine learning effectively. You will support the architectural needs of their Data Science team to ensure the seamless deployment, monitoring, and maintenance of machine learning models and data pipelines. You will work in close collaboration with the Data Science team to … position, you will develop and maintain automation scripts and tools to streamline the machine learning model deployment process and ensure reproducibility. The DevOps/MLOps Engineer will implement security best practices and ensure compliance with relevant data privacy regulations in all processes as well as work cross-functionally with Data more »
Employment Type: Permanent
Salary: £45000 - £50000/annum bonus, pension plus 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 »
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 »
Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
Title: Senior MLOps Engineer (NLP) Type: Contract Rate: £500-600 per day (outside IR35) Length: 6 months Location: London (Hybrid) We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products! You will … models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability. Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows. Champion NLP Expertise: Collaborate with data science teams, translate model requirements … of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP). Degree in Computer Science more »
