2,076 to 2,100 of 2,678 Remote Machine Learning Jobs

responsible for building and operating the data foundations that support a wide range of customer-focused use cases, including Customer 360, analytics, AI/ML, marketing and data-driven commercial initiatives . This is a hands‐on engineering role for someone who enjoys solving complex data problems, building scalable solutions … data ingestion and transformation pipelines for high-volume customer data. Develop robust, reliable and production‐grade data solutions supporting Customer 360, analytics, AI/ML, marketing and commercial use cases . Contribute to solution design and technical architecture , taking a holistic view of systems, integrations, dependencies and potential risks. Build ...

data governance, access control, and security practices in cloud environments.Experience with large-scale ETL/ELT design and migration programmes.Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms.Demonstrated experience with cloud cost management and FinOps practices.Experience managing vendor contracts, procurement, and commercial negotiations.Strong stakeholder … working knowledge of modern cloud data platforms (Azure Databricks/Spark using Python and associated frameworks, or Snowflake equivalent).Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms.Strong working knowledge of cloud storage solutions (Azure Data Lake, Blob storage, or equivalent).Strong experience ...

/ML Engineer Location: Hampshire/Hybrid - 2 days per week onsite Salary: £60,000 per annum + benefits Are you an experienced AI/ML Engineer who enjoys tackling complex technical problems and turning research into practical solutions? We're looking for a hands-on AI/ML professional … Computer Vision and Reinforcement Learning , depending on your experience. What you'll be doing Researching and evaluating state-of-the-art AI/ML techniques. Adapting academic research and existing algorithms to solve real-world problems. Designing, developing and testing AI/ML solutions. Building hands-on AI/ ...

technical stakeholders. Required Skills Python — Strong software engineering and application development experience. Application Engineering — Experience building, testing, and deploying production applications. AI/ML Integration — Experience integrating AI/ML capabilities into applications and workflows. APIs & System Integration — Experience with APIs, enterprise systems, third-party platforms, and data sources. LLMs … solutions that are scalable, secure, and aligned to business objectives. Experience & Qualifications Typically 5+ years' experience in software engineering, AI/ML engineering, or a related technical discipline. Experience building and deploying AI/ML or Generative AI applications. Strong problem-solving skills and comfort working with incomplete or evolving ...

Group in the UK is seeking a Data Scientist to join our hybrid team in London or Manchester. You will build, evaluate and productionise machine learning solutions across recommendations, personalisation, customer modelling and predictive … modelling to improve customer experience and business outcomes. You will work closely with Product, Engineering, MLOps and Marketing to translate defined problems into practical ML approaches, ensure robust evaluation, and deliver high-quality, #J-18808-Ljbffr ...

another low-level systems language.Good understanding of real-time graphics and the GPU pipeline, with exposure to a modern graphics API.Foundational knowledge of machine learning/neural networks and interest in applying them to graphics.Ability to independently prototype, evaluate and communicate technical ideas in an R&D environment … technology, and neural graphics. You will work alongside experienced engineers in a collaborative and friendly team where asking questions, experimenting with ideas, and learning from others are encouraged.You will have opportunities to work on emerging graphics technologies, contribute to real-world engineering investigations, and gradually take on greater technical ...

level systems language. Good understanding of real-time graphics and the GPU pipeline, with exposure to a modern graphics API. Foundational knowledge of machine learning/neural networks and interest in applying them to graphics. Ability to independently prototype, evaluate and communicate technical ideas … technology, and neural graphics. You will work alongside experienced engineers in a collaborative and friendly team where asking questions, experimenting with ideas, and learning from others are encouraged. You will have opportunities to work on emerging graphics technologies, contribute to real-world engineering investigations, and gradually take on greater ...

Resources is partnering with an innovative deep-tech firm to recruit an applied Machine Learning engineer in the UK. You will help build simulation environments, frameworks and tooling for next‐generation computing workloads. The role offers ownership of system architecture across software and hardware stacks, with remote ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

Capital One Europe is seeking a Data Scientist - Model Developer/Statistician in Nottingham. The role focuses on developing and maintaining underwriting models, with a strong emphasis on statistics, feature generation, and model risk management. ...

Markerstudy Group is seeking a Technical Pricing Manager to develop pricing models and optimise pricing across portfolios. The role emphasises producing incremental lifetime value and integrating advanced data science methods to improve model accuracy. You ...

Jet2.com is seeking a Lead Data Scientist based in Leeds for a hybrid role at Holiday House in Leeds City Centre. You will lead a team delivering data science solutions that drive commercial value across ...

Biorelate Limited is hiring a Forward Deployed Engineer to work directly with customers as they integrate our knowledge graph into their systems. The role blends customer delivery (about 70%) with core platform work (about 30 ...

Dashdash, Inc. is looking for an engineer to set up a personalized fine-tuning pipeline on Versey. You will work remotely, ideally during London-friendly hours, and earn a rate of $70–95/hr. ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI.As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

wide goals Drive architectural decisions and technical excellence across teams Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives Team Building & Talent: Build and scale high-performing … office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines Model serving and deployment at scale Strong understanding of modern infrastructure technologies: Kubernetes, Terraform ...

will develop quantitative models, integrate AI capabilities, and translate complex data into actionable investment insights for institutional clients. The role combines equity research with machine learning and platform development, offering hybrid work and opportunities to advance scalable research tools and client engagement. #J-18808-Ljbffr ...

Oritain is seeking a Lead Statistical Data Scientist to provide technical leadership for statistics and machine learning, guiding projects and shaping the data science capability. You’ll mentor other data scientists and collaborate with science, engineering, product, and commercial teams to deliver real-world impact. The role offers ...