to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Strong data manipulation skills for analytics more »
City of London, London, United Kingdom Hybrid / WFH Options
Stott & May Professional Search Limited
Azure. Develop solutions using Azure AI Services, including AI Prompt Flow and AI Search. Build data ingestion pipelines and AI/ML models. Integrate MLOps practices into development lifecycle. Collaborate with cross-functional teams to deliver high-quality AI solutions. Ensure secure, performant, and scalable AI applications. Stay updated with more »
practices, including CI/CD pipelines, infrastructure as code (IaC, especially Terraform), and containerization technologies (e.g., Docker, Kubernetes). 1+ years of experience with MLOps tools and methodologies, preferably within the Azure ecosystem (Azure ML, Databricks, etc.). Proven ability to design, develop, and deploy complex cloud-based solutions using 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 »
Manchester, North West, United Kingdom Hybrid / WFH Options
N Brown Group
We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable more »
City of London, London, United Kingdom Hybrid / WFH Options
McGregor Boyall Associates Limited
Data Science Lead Data Science GenAI Lead (UK & Europe) London £130,000-£150,000 + package Hybrid working - 2/3days in office About the Company: Our client is a leading global provider of customer experience, business process outsourcing, and more »
Data Scientist - Marketing Effectiveness Paying up to £60k + 10% bonus Hybrid in Central London - 2 days a week. Global business One of La Fosse's best clients who are an industry leader within the entertainment/ticketing industry are more »
an ML approach. Create and productionise machine learning models using python, ML libraries, and Databricks. Process large scale data from our data lakehouse. Apply MLOps, AutoML, model explainability best practices. Present the results to stakeholders in an intuitive way and assisting the long-term tracking of the model performance to more »
5+ years of experience in software development with a strong proficiency in Python. Experience with cloud platforms (Azure preferred) 1+ years of experience with MLOps tools and methodologies, preferably within the Azure ecosystem (Azure ML, Databricks, etc.). Proven ability to design, develop, and deploy complex cloud-based solutions using more »
AI/ML Azure MLOps Engineer needed for a leading Financial Services Company in London Introduction: We are currently seeking an experienced and highly skilled AI/ML Azure MLOps Engineer to join our client, one of the leading financial services companies based in London. The successful candidate will be … knowledge of artificial intelligence/machine language concepts is essential along with experience implementing ML algorithms using Python libraries e.g scikit learn or TensorFlow. MLOPS - Familiarity with Machine Learning Operations which include model versioning control , monitoring metrics etc Microsoft Stack Technologies - Experience working extensively within MS ecosystem particularly around building more »
and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams more »
to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Strong data manipulation skills for analytics more »
to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Strong data manipulation skills for analytics 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 »
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 »
close collaboration with researchers a strong plus Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus Portfolio optimisation/market impact models/optimal execution/transaction cost analysis a strong plus Experience with production front office trading more »
London Permanentup to 90,000 Senior Product Manager (Data/AI/ML)Location: London or Midlands – Remote Working Salary: 80,000 – 90,000 (plus benefits and bonus target of 20%) We are partnered with a market-leading sports streaming 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 »
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 »
Transform the World of Content Creation as an AI Engineer. We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform . Based in the vibrant heart of tech innovation, this more »
programming languages (such as Java) Experience of working on a project using agile concepts (such as working in sprints) Familiarity with working in an MLOps environment. Experience working with search engines (such as Elasticsearch) #J-18808-Ljbffr more »
learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in more »
of experience in a data-driven role, with exposure to: Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, MLFlow, JAX) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms more »
