151 to 175 of 535 Remote/Hybrid Machine Learning Jobs

Berlin (DE) Define and lead data strategy initiatives, aligning data collection and preparation with organizational goals. Drive the development, validation and deployment of advanced machine learning and statistical models. Provide strategic guidance by translating complex data insights into impactful business recommendations. Oversee the integration of predictive models into … least 5 years of relevant professional experience in the field of Data Science or Data Enginnering. Proficiency in programming languages (Python, R, SQL) and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with data visualization tools and techniques to present actionable insights. Strong analytical skills. Methodical, structured ...

Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across … data platforms Integrate data from multiple sources including APIs, databases, and cloud storage Collaborate with data scientists and analysts to enable advanced analytics and ML workloads Implement monitoring, logging, and cost-optimization best practices Follow data governance, security, and compliance standards Document data pipelines, architectures, and best practices Required Qualifications ...

Title: AI Engineer (Digital Health)/Machine Learning Engineer/AI Lead/Generative AI Engineer/Aritificial Intelligence Level: Mid-Level Location: United Kingdom (Hybrid working) Salary: £60,000£90,000 + benefits Employment Type: Permanent The Opportunity We are a Specialist Digital Health Consultancy working with … quality. What Were Looking For AI & Engineering Experience Around 25 years experience in software engineering, with at least 12 years working with AI/ML or Generative AI in a commercial setting. Solid Programming Foundations Strong skills in Python and/or JavaScript , with a good understanding of APIs, data ...

satisfaction from day one. Experience in building reusable AI components and frameworks for enterprise-scale deployments.Your CV must evidence strong proficiency in Python and ML frameworks (TensorFlow, PyTorch). You will have strong statistical and analytical skills. You will be experienced in a wide range of Data Science techniques (e.g. … ML, Optimisation, Simulation, GenAI, etc.). You will have demonstrated an ability to take models from design through to production deployment, including performance optimisation, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages. You will have significant experience in similar operational research roles, with a proven ...

Salary: 50.000 - 90.000 € per year Requirements: • 3+ years of experience in Applied AI or Machine Learning in the industry • Proficiency in building Generative AI and Agentic applications at scale, with expertise in using agentic frameworks, vector databases, grounding, and other relevant concepts • Direct experience or strong familiarity with … client communication to understand their needs and tailor AI-driven solutions accordingly Technologies: AI AWS Azure CI/CD Cloud Docker GCP Support Kubernetes Machine Learning Marketing SAP UX UI Design Web More: OUR OFFER While were one company, each location has unique aspects and benefits. Heres ...

Salary: 50.000 - 90.000 € per year Requirements: • 3+ years of experience in Applied AI or Machine Learning in the industry • Proficiency in building Generative AI and Agentic applications at scale, with expertise in using agentic frameworks, vector databases, grounding, and other relevant concepts • Direct experience or strong familiarity with … client communication to understand their needs and tailor AI-driven solutions accordingly Technologies: AI AWS Azure CI/CD Cloud Docker GCP Support Kubernetes Machine Learning Marketing SAP UX UI Design Web More: OUR OFFER While were one company, each location has unique aspects and benefits. Heres ...

Software AI Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Cheltenham. Working at the forefront of national security innovation this Software AI Engineer will work within a R&D team collaborating with industry partners to turn ideas into production ready … would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect ...

opportunity to work on a wide range of technically challenging projects, including large-scale data processing systems, enterprise applications, mobile applications and cutting-edge machine learning solutions. You’ll be joining a collaborative, supportive and highly skilled team within a friendly, family-run environment. As a Software Developer … team Example Projects Real-time IoT systems communicating via GPRS Complex reporting and scheduling platforms Large-scale, data-driven systems Rich data analysis, machine learning, and AI solutions Backend integrations with CRM and financial systems Required Skills & Experience Strong commercial experience with C# .NET Core (essential) Proven experience ...

edge data platforms. Engineer enterprise-level data pipelines and optimise ETL processes. Develop workflows and decision-support tools that transform operations. Integrate AI and machine learning into client systems, ensuring measurable outcomes. Partner with senior stakeholders to translate business needs into technical solutions. Set engineering standards, champion best … engineering, ETL pipelines, and workflow design at scale. Proven track record of leading projects and mentoring teams in client-facing environments. Passion for AI, machine learning, and translating emerging technologies into real-world impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

vector search technology. Collaborate with cross-functional teams to integrate AI models into products. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying … models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine learning, or deep learning. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc. ...

data pipelines and ETL processes. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate on AI and machine learning models applied to real-world challenges. Technical Excellence: Deliver scalable, reliable software solutions using Python, SQL, and TypeScript. Grow & Share: Mentor peers … technologies (Foundry, Gotham, or similar) is preferred but not essential . Solid understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. Work ...

Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: £35,000 - £55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative … software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions ...

Robotics Engineer, you will have the opportunity to design and implement advanced perception systems, combining robotics fundamentals with ground breaking machine learning (ML), artificial intelligence (AI), and computer vision techniques. This role offers an inspiring work environment where your expertise will contribute to ground breaking advancements … systems, focusing on object detection, tracking, and classification. Develop and optimise sensor fusion techniques, integrating data from cameras, LiDAR, radar, and IMU sensors. Create ML/AI models for scene understanding, semantic segmentation, and obstacle detection to enhance robotic decision-making. Integrate autonomous navigation solutions using the ROS2 Navigation Stack ...

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...

recruit an Information Scientist who will play a key role in advancing AI-enabled content analytics. In this position, you will apply NLP, machine learning, and information science methodologies to extract insights from biomedical literature, enhance R&D decision-making, and optimise scientific workflows. This is an exciting … implement AI-driven workflows for literature mining, summarisation, and trend analysis. Maintain and develop external information endpoints aligned with FAIR data principles. Apply machine learning and LLMs to improve information retrieval and automate content classification. Collaborate with cross-functional teams and act as a subject matter expert ...

impact of marketing investment on key outcomes such as customer acquisition, retention, and engagement. Apply a range of data science techniques - including regression, machine learning, and time-series modelling - to generate insights and support predictive and prescriptive analytics. Manage, clean, and integrate datasets from multiple internal and external … narrative that aligns with the evidence. Work closely with stakeholders across the business to scale and enhance media mix models using advanced statistical and machine-learning approaches. Here's what we're looking for: Proven experience in Big Data analysis, econometrics, statistics, and Marketing Mix Modelling within ...

impact of marketing investment on key outcomes such as customer acquisition, retention, and engagement. Apply a range of data science techniques - including regression, machine learning, and time-series modelling - to generate insights and support predictive and prescriptive analytics. Manage, clean, and integrate datasets from multiple internal and external … narrative that aligns with the evidence. Work closely with stakeholders across the business to scale and enhance media mix models using advanced statistical and machine-learning approaches. Here's what we're looking for: Proven experience in Big Data analysis, econometrics, statistics, and Marketing Mix Modelling within ...

Cloud Infrastructure (OCI) services and architecture Integrations with Oracle SaaS applications Oracle PaaS technologies Youll also have hands-on knowledge of Oracles AI and machine learning ecosystem, including: Oracle AI Services (Language, Vision, Anomaly Detection, Forecasting) Oracle Machine Learning (OML) and AI-driven integrations within ...

Head of Engineering - Remote - UK - £80,000-£150,000 GenAI, ML, Spark Why Join This Company? This is a leadership role for someone who wants to work in a truly AI-first engineering environment, not a business experimenting at the edges. The company is already well ahead of the curve … working. You'll Work With Cross-functional teams spanning: Web Engineering (React/TypeScript) Data Engineering (distributed systems, Spark-based platforms) Data Science & Machine Learning A highly technical CTO who is deeply invested in AI adoption and modern engineering Product leadership following significant recent evolution and change ...

various systems and applications. You will optimize database structures and implement efficient solutions for data transfer and storage. You will integrate AI and machine learning models into existing applications and work with data scientists to create innovative solutions. You have a good eye for design and work closely … such as PostgreSQL. Familiarity with agile development methods such as Scrum or Kanban and initial experience with DevOps approaches. Experience in integrating AI or machine learning approaches into applications is a strong plus. A good sense for UI/UX and the ability to implement design systems consistently. ...

trends, designing and building AI systems, and supporting early stage pilots. On a day to day basis, you will get hands on with machine learning and generative AI, while also translating technical concepts into clear, practical explanations for non technical audiences. You will present ideas, demonstrate solutions … move from interest to adoption. Required Skills: - Strong technical background with hands on experience building AI systems, prototypes, or proof of concepts - Experience with machine learning and generative AI, ideally including RAG based solutions - Python experience and solid understanding of core AI concepts - Ability to translate technical ...

tools and trends, designing and building AI systems, and supporting early stage pilots.On a day to day basis, you will get hands on with machine learning and generative AI, while also translating technical concepts into clear, practical explanations for non technical audiences. You will present ideas, demonstrate solutions … move from interest to adoption. Required Skills: - Strong technical background with hands on experience building AI systems, prototypes, or proof of concepts - Experience with machine learning and generative AI, ideally including RAG based solutions - Python experience and solid understanding of core AI concepts - Ability to translate technical ...

Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 Produce flow estimation, flood estimation, and catchment models Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes Develop, manage, and enhance hydrological and modelling methods Provide dedicated support to scientific research Liaise closely with … Hydrology, Environmental Science, or a cognate discipline Demonstrable experience of coding, with particular familiarity with Python and/or R Considerable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-based environmental science role Confident ability ...

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms ...

automate collection processes. Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns. Build predictive models and machine-learning algorithms. Combine models through ensemble modeling. Present information using data visualization techniques. Propose solutions and strategies to business challenges. Collaborate with engineering … Science, Computer Information Systems, Mathematics, or a related field required. Two years of computer science experience and data science experience required, including experience in machine-learning and operations research, Spark, and Java/Kotlin. In lieu of a Bachelors degree in Computer Science, Computer Information Systems, Mathematics ...