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 »
cars faster and achieve greater sustainability through Machine Learning. As a Machine Learning Engineer/Data Scientist you will apply advanced Machine Learning and MLOps techniques to develop scalable, efficient solutions that solve real world customer problems. You'll collaborate with Agile engineering teams and write code (in Python) that more »
with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge and experience in deploying models into business processes, preferably in the healthcare, insurance or financial 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 »
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 »
Brackley, Northamptonshire, East Midlands, United Kingdom
The Mercedes AMG-PETRONAS Formula One Team
Desktop applications written in Windows Presentation Foundation using ReactiveUI and/or ASP.NETCore web services Good understanding of Git Experience of Machine Learning Operations (MLOps) Practical understanding of computational statistics Good communication skills, including the ability to explain technical concepts to users Experience of working on multiple projects in parallel 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 »
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 »
Working knowledge of LLMs and related frameworks like Langchain and Semantic Kernel. Understanding of AI agents and their application in business contexts. Familiarity with MLOps/DevOps, particularly within cloud environments. Strong coding skills in Python and experience with C#, Azure Functions, and Event Hubs. A solid understanding of data 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 »
oxford district, south east england, United Kingdom
Oxa
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 »
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 »
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 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 »
and SQL. Fluency in English and German, with French being a plus. Desirable experience in Consulting or Customer-facing Data Science roles, Data Engineering, MLOps, WebApps (Javascript, RShiny, Dash), API development, and enterprise data science tools. Passion for teaching or public speaking is advantageous. Responsibilities include: Developing solutions for real more »
and SQL. Fluency in English and German, with French being a plus. Desirable experience in Consulting or Customer-facing Data Science roles, Data Engineering, MLOps, WebApps (Javascript, RShiny, Dash), API development, and enterprise data science tools. Passion for teaching or public speaking is advantageous. Responsibilities include: Developing solutions for real more »
focused on credit or cash management markets Knowledge of software development and experience in a range of coding languages e.g. Python, C++ Experience with MLOps, Kubernetes/containerisation Thought leadership and innovative problem solving Strong numeracy skills with a background mathematical disciplines Excellent written and verbal communication skills to convey 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 »
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 »
highly technical environment Extensive Python experience skilled with deep learning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer Science or a related field Salary: £70,000 - £100,000 DOE more »
environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. more »
leading the deployment of Data & AI solutions. Proficiency in the Microsoft Azure Data Stack, experience with LLMs, prompt engineering, AI Agents, and familiarity with MLOps/DevOps practices. Strong coding skills in Python and C# are a plus. Exceptional skills in client engagement and strategic solution delivery. Ability to inspire more »
of Agile software development methodologies and CI/CD processes. Desired : experience in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is more »
