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 »
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 »
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 »
Guildford, Surrey, South East, United Kingdom Hybrid / WFH Options
Allianz Insurance Plc
to develop advanced ML models and algorithms that power our data-driven solutions. To further strengthen our ML capabilities and streamline our ML operations (MLOps), we are seeking a skilled and motivated Platform Engineer to join our data science team. Role Overview As a Platform Engineer at Allianz Commercial, you … data scientists and data engineers to provision infrastructure and operationalize ML models and ensure their scalability, reliability, and performance. Your expertise in DevOps/MLOps and experience with the Azure cloud environment will be essential in designing and implementing end-to-end ML solutions. You will collaborate with cross-functional … production. This role requires strong technical skills, a solid understanding of Azure Cloud services and deployment/configuration processes, and experience with DevOps/MLOps best practices. Responsibilities Collaborate with data scientists and data engineers to understand ML requirements, and design and develop ML pipelines for data pre-processing, model more »
Guildford, Surrey, South East, United Kingdom Hybrid / WFH Options
Allianz Insurance Plc
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 »
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 »
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 »
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 »
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 »
analytical skills, with experience in deep learning and knowledge of neural networks (TensorFlow, PyTorch). - Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices, including tools like MLFlow, BentoML, and Evidently AI. - Awareness of AI ethics, privacy considerations, and a commitment to continuous learning in the rapidly evolving more »
Data engineering, i.e. ensuring a good data flow between database and backend systems. Data science, i.e. analyzing data and coming up with use cases MLOps, i.e. automating ML workflows with testing, reproducibility and metadata/feature storage; Designing ML architectures on Google Cloud Requirementa 1-3 years experience as an more »
LLMs for NLP tasks in industry Experience in Biomedical data or computational sciences Experience in cloud platforms such as GCP or AWS Experience with MLOps/LLMOps frameworks and best practices Competitive compensation package Private medical insurance (underwritten on a medical health disregarded basis) Life insurance (4 x salary) Individual more »
with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks 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 »
and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in working in a fast paced environment 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 »
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 »
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 »
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 »
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 »
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 »
culture where employees can bring their authentic selves to work. Key responsibilities of the role are summarised below: We are seeking an experienced Hybrid MLOps, DevOps, Dev Engineer to lead multiple projects while providing high-level strategic guidance to our clients. This role requires exceptional client-facing skills and the … ability to handle multiple projects simultaneously. The successful candidate will be responsible for working closely with a DevOps team of 4 and 2 MLOps engineers, advising clients on their strategic goals, and assisting them in delivery. Responsibilities: Implementation of DevOps best practices Working knowledge of Istio, Argo CD, Argo Workflows more »
list. Nice to have: Experience of architecting systems and designing APIs Knowledge of structured databases such as PostgreSQL Experience with machine learning applications and MLOps Understanding of working on embedded/resource-constrained devices Flexibility to travel and work with customers on-site when appropriate All engineers at Arondite are more »
