76 to 100 of 1,214 Remote Machine Learning Jobs

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … infinitely patient and leave no student behind. We'll augment our memories with foundation models -individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces-blurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn … is the machine learning compute protocol that translates machine learning compute into an always-on commodity resource-outside of centralised control and as ubiquitous as electricity-accelerating AI progress and ensuring that this revolutionary technology is accessible to all of humanity through a free market. Our Principles: AUTONOMY Don't ask for permission - we have a More ❯

how we turn models into production-ready systems. As a Machine Learning Engineering Manager, youll lead a team of MLEs responsible for building, deploying, and maintaining the ML infrastructure that powers our personalisation, optimisation, and intelligent decision-making products. This is a hybrid role for a hands-on engineering leadersomeone who can lead people, deliver at pace, and … systems into production Drive team planning, estimation, and sprint deliveryensuring projects are delivered on time and to a high standard Support the development of real-time and batch ML workflows across a variety of business use cases Collaborate closely with data scientists to move prototypes into high-quality production systems Platform & Engineering Standards Contribute to the design and evolution … of our internal ML platform and tooling Champion best practices in CI/CD, observability, reproducibility, and infrastructure-as-code for ML Ensure all deployed systems meet requirements for resilience, testing, security, and performance Influence and contribute to shared frameworks, libraries, and deployment pipelines Strategy & Cross-Functional Collaboration Work with technical and product leads to align team roadmaps to business More ❯

Role Overview: This is an exciting opportunity to join our Consulting Department in Sheffield as a Machine Learning Developer , where you'll contribute to innovative, data-driven projects that help clients solve complex business challenges through AI and machine learning solutions. If you're passionate about AI and eager to apply your skills in a fast … understand requirements and iteratively design and develop solutions. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Designing and building Python/ML/OCR-based components. Not only supporting thedevelopment of the product, but also the full lifecycle including the deployment, testing and production support of the application. Required Experience: Strong experience … Intelligent document processing using traditional models and Generative AI - particularly in using open-source models for achieving business outcomes. Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy More ❯

leading org built around fairness and sustainability within adtechis building products that can handle 400 billion auctions per day. Exceeding that of any Google or Amazon programmatic ad marketplace.The ML team is building products that help increase latency and speed. A globally distributed team with the bulk of the Data Science & Machine Learning org in Berlin. Their Executives … call the ML team the "secret sauce" to their evolution. What's in it for you? Salary £140-160k Hybrid Working environment Build at Scale - work on products that overshadow Google and Amazon searchscales AND see direct impact through visible KPI's Buy in from Execs - No headaches around trying to get the smallest thing approved. Work in an … goal for this Data Science team. Getting your team processes structuredand self sufficient is a key piece of the puzzle for this hire to be successful. 3. Data Science & ML: You need to know how these models work and all the different variables that can go wrong. Models outputs are not always 100% accurate. While not expecting you haveSpidey like More ❯

for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost … love to hear from you! You will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities: Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment Deploy and scale ML models, particularly large language models (LLMs) Build and maintain scalable pipelines and services to support real-time ML … improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and More ❯

Role : Project Manager – AI & Machine Learning Research Location: London, UK- Hybrid role Duration: 5 Months … Possible extension) We're seeking a Project Manager to support a high-impact, multidisciplinary AI research team working at the frontier of machine learning , generative AI , and ML agents . In this role, you’ll bring structure to complex technical initiatives, coordinate across diverse teams, and help ensure the success of innovative research programs that shape the future … Coordinate third-party dataset approvals, project reporting, and research documentation Facilitate communication across engineering, product, legal, and other cross-functional teams Lead project planning sessions and track milestones for ML agent-based research initiatives Provide visibility into progress using data-driven updates, risk tracking, and mitigation strategies Align project goals with team and organizational strategy, ensuring all stakeholders are informed More ❯

Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. Machine Learning Engineer The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over … Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. We have a strong, active data science community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things. The Role We are hiring several MLE positions in different … restaurants in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish. Requirements 3+ years' experience as a ML Engineer or Data Scientist 3+ years' experience in Python Experience productionising ML models Experience using tools like Git, Docker, Kubernetes, CircleCI You know the fundamentals of machine learning More ❯

Scientist to help improve the performance of our targeting and optimization products. The Applied Science team at Sojern develops services and pipelines to optimize advertising campaign performance and applies machine learning at scale for thousands … of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a travelers propensity to book Time series forecasting As a part of the Science and Optimization team, we deliver through the full data … this role requires availability to work later business hours, with a regular schedule ending at 7:00 PM Mon-Thu. What you will do: Design and maintain statistical and machine learning models to optimize campaign performance Model key performance advertising metrics like conversion rates and click through rates, and use those metrics to automate estimation of campaign bids More ❯

Location: London Flexible hybrid working arrangements available. Please discuss options with your recruiter. Grade: GG10-GG11 Referral Bonus: 5,000 Are you passionate about cutting-edge AI/ML technology? Are you motivated to find innovative solutions to complex challenges as part of a team dedicated to national security? Join BAE Systems as an experienced Machine Learning (ML … Engineer. As part of our AI team, you will work with National Security Customers to understand their challenges and identify where AI/ML solutions can add value. You will lead prototype development and be responsible for designing, implementing, and deploying AI solutions. This role requires a strong foundation in software engineering, statistics, and AI/ML concepts, with an … awareness of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI propositions that benefit our customers. Collaborating with data scientists, AI strategists, and delivery managers, you will engage in activities aligned with our AI Strategy, which includes: Customer Focus: Understanding needs and measuring AI value Market Positioning: Establishing More ❯

About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to … Retrieval-Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies More ❯

downstream clients. Design and implement realtime sentimentanalysis and NLP pipelines for social feeds (Twitter, Reddit, Discord, Telegram, etc.), covering ingestion, tokenization, entity extraction, and sentiment scoring. Develop and train ML models, starting with prebuilt services and advancing to custom transformer architectures, to continuously improve the accuracy and relevance of sentiment signals. Collaborate with cross-functional teams (frontend, design, marketing, product … to roadmap and deliver new ML-driven insights and to design intuitive consumer-facing dashboards and alert systems that visualize real-time mindshare and sentiment metrics aligned with product goals. Ensure data security and compliance, particularly around usergenerated content, API keys, and any PII in social media streams. Maintain code and model quality: author clean, efficient, and maintainable code; implement … comprehensive testing and debugging; and lead code reviews, share best practices, and mentor teammates. Knowledge & Experience 5+ years in ML or data engineering roles, building production-grade NLP or sentiment systems. Proven track record building low-latency, high-throughput data pipelines and APIs using Go, Python, or similar. Hands-on NLP experience with both pre-built services (e.g., AWS Comprehend More ❯

our larger purpose. Could that be you? Your mission As an applied scientist, you'll work at the intersection between research and product. You'll build, optimize and deploy machine learning models as well as scale them up. We're looking for people who love machine learning and computer science, are interested in the theory behind … need to be kind, courteous, motivated, self-starting, honest and responsible. What you'll do at UiPath Build and improve modern machine learning models to solve complex ML problems. Read papers, propose model improvements, implement and test the new models. Think about the best human-computer interfaces to make machine learning models accessible to everyone. Run … draw conclusions on the impact of your research-based optimizations and present your findings to the team. What you'll bring to the team Knowledge of Python and modern ML libraries like PyTorch, Tensorflow, or JAX. Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc. Strong quantitative intuition and mastery of linear algebra, probability and statistics. Solid More ❯

engineering leader in Machine Learning to join us as a Senior Principal Software Engineer. You will be responsible for shaping, developing and delivering machine learning (ML) and artificial intelligence (AI) solutions. This will help create robust, scalable and innovative personalisation systems that power our digital services. Interview process Two stage interview process Technical task for shortlisted … 4th September this may be subject to change") Main Responsibilities • Provide technical leadership and mentoring, set technical standards and define best practice. • Ensure reliability, scalability and maintainability of our ML capabilities. • Cross functional collaboration with product, architecture and data science • Ensure that machine learning solutions are effectively integrated into products and deliver measurable, sustainable business value • Identify and … champion innovation within teams • Active participant in Industry ML forums and communities Are you the right candidate? • Excellent communication skills and experience with managing multi-disciplinary stakeholders. • Extensive experience setting technical direction across multiple teams. • Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS More ❯

engineering leader in Machine Learning to join us as a Senior Principal Software Engineer. You will be responsible for shaping, developing and delivering machine learning (ML) and artificial intelligence (AI) solutions. This will help create robust, scalable and innovative personalisation systems that power our digital services. Interview process Two stage interview process Technical task for shortlisted … 4th September *this may be subject to change) Main Responsibilities Provide technical leadership and mentoring, set technical standards and define best practice. Ensure reliability, scalability and maintainability of our ML capabilities. Cross functional collaboration with product, architecture and data science Ensure that machine learning solutions are effectively integrated into products and deliver measurable, sustainable business value Identify and … champion innovation within teams Active participant in Industry ML forums and communities Are you the right candidate? Excellent communication skills and experience with managing multi-disciplinary stakeholders. Extensive experience setting technical direction across multiple teams. Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. Strong experience with AWS More ❯

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

Scientist in the Market Pricing team, you will be reporting to the Head of Market Pricing, working closely with the Home Underwriting team, Home Retail Pricing team, Data and ML Engineering teams. You will play a pivotal role in the development and deployment of machine learning models and data science solutions to extract the crucial predictive insight that … guidance and tooling to benefit the wider Pricing, Data and Analytics community and support data-driven innovation. Key Responsibilities Developing, analysing, and overseeing the implementation of advanced statistical and machine learning models into live pricing. Stretching the team's capabilities in Artificial Intelligence, Machine Learning and use of Cloud technologies. Working cross-functionally with the wider … software development best practices. Engaging commercial stakeholders to gather detailed business requirements and coordinating project activities. Essential skills/experience: Proven track record of delivering commercial value using supervised machine learning techniques. Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn) Advanced knowledge of data science technologies including tooling and platforms. More ❯

for someone excited about creating practical, scalable AI applications within a fast-moving technology company. Responsibilities Responsible for identifying, collecting, cleaning, and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machine learning models to meet performance requirements. Conduct quality … metrics. Support the broader adoption of AI across the organization and contributes to the AI Guild community. Propose AI-first strategies and contribute ideas to address business challenges through machine learning. Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machine learning, deep learning … learning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity with MLFlow and AzureML seen as a positive. Have working knowledge of CI/CD practices, ML Ops, ML pipelines, automated testing, and platforms such as AzureML, Google Cloud, or AWS. Possess hands-on experience in using and developing LLM-powered applications, including retrieval-augmented generation (RAG More ❯

The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies. Working closely with BI, data engineers, and product teams, you'll build scalable solutions that … marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML … continuously improve model performance in production environments. Mentor junior engineers and promote best practices in model development, code quality, and cloud infrastructure usage. Contribute to the evolution of our ML Ops processes including continuous training, automated evaluation, and scalable deployment frameworks. Maintain high standards for documentation, security, and model explainability in compliance with industry regulations (GDPR, CCPA, etc.). Participate More ❯

The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies. Working closely with BI, data engineers, and product teams, you'll build scalable solutions that … marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML … continuously improve model performance in production environments. Mentor junior engineers and promote best practices in model development, code quality, and cloud infrastructure usage. Contribute to the evolution of our ML Ops processes including continuous training, automated evaluation, and scalable deployment frameworks. Maintain high standards for documentation, security, and model explainability in compliance with industry regulations (GDPR, CCPA, etc.). Participate More ❯

Job Title: Machine Learning Engineer Location: Hybrid - Travel to SCIFs in DMV area as and when needed Clearance: Top Secret or higher Salary: $180k-$215k + Equity Join a pioneering company at the forefront of Intelligent Exploration and Enterprise AI. This innovative organization is seeking a Machine Learning Engineer to play a crucial role in enhancing … their cutting-edge AI Platform. With a focus on bridging machine learning, data engineering, and software development, this position offers exciting career advancement opportunities for those looking to move into senior engineering roles or technical leadership. The company is known for its dynamic culture, commitment to innovation, and a collaborative environment that fosters professional growth. As a key … applications, considering current trends and future growth. Collaborate with Technical Product Managers to drive usability enhancements, ensuring products meet user expectations. What We're Looking For: Proven experience in machine learning, data engineering, or software development. Proficiency in Python, particularly with SDKs for data visualization. Strong problem-solving skills, especially in optimizing performance and scalability. Ability to work More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

coming year and beyond! The role We are now looking for an AI Solutions Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you … development of our AI agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to More ❯