2,176 to 2,200 of 2,676 Remote Machine Learning Jobs

than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high-autonomy role with real scope to shape what the company's AI products … collaborative environment for your squad, providing wider context and clear goals so everyone can do their best work Work with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI models Communicate strategy, initiatives, and progress transparently across the organisation Translate complex ...

design and data handling.Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture — fostering a culture of continuous learning and technical excellence.Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period.Fosters a culture … production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent).Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases.Proven expertise in prompt engineering: designing, iterating, and evaluating ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … project management, and development skills* Relationship and consensus building skills**Preferred*** Kafka/Event-Driven Architecture* Apache Iceberg/Delta Lake* Python* AI/ML & LLM integration* Financial Services/Capital Markets**Education:*** Bachelor’s degree/University degree or equivalent experience* Master’s degree preferred**What we’ll provide ...

Experience delivering Agentic AI or RAG-based enterprise solutions Familiarity with regulated environments and security-driven designs GCP Professional certifications (Cloud Architect, Data Engineer, ML Engineer) Gemini Agent Development or Deployment skill badges We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on‐site massages and regular social events Learning and development opportunities including in‐house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

data handling. Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture — fostering a culture of continuous learning and technical excellence. Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period. Fosters … production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent). Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering : designing, iterating ...

Futurice UK, and being responsible for the quality of what we buildArchitecting and building production AI systems: agentic applications, retrieval and knowledge systems, applied ML, and the data platforms beneath themEstablishing how we evaluate AI systems, so that quality, cost, latency and risk are measured rather than assumedAdvising client leadership … weight models, or none at all. Fine-tuning, distillation and RL-based post-training, and a sense of when none of them are needed.Classical ML and data science. Forecasting, optimisation, causal inference, recommendation and anomaly detection. A good deal of useful work is not generative.Data and platform foundations. Pipelines ...

risks, priorities and investment recommendations. Required qualifications Significant experience in product innovation, data science or technology strategy roles, including substantial experience applying AI/ML solutions within the financial services sector. Strong understanding of banking, financial technology or enterprise software, ideally across core banking, lending, payments, digital banking or analytics. … Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute. Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool. Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee ...

Skills: Deep vulnerability research, exploit R&D, manual pentesting (cloud/web/embedded/mobile), SIEM/logging platforms (Splunk, OSQuery), AI/ML security, and distributed systems.Education & Certifications: Master’s degree preferred; Cloud/Security certifications (CCSP, CCAK, AWS Security Specialty, OSCP, CISSP, SANS/GIAC).Soft Skills … holidays. Attractive defined contribution pension scheme.Private medical insurance.Employee stock purchase plan.Flexible working options. Life assurance.Enhanced maternity and paternity pay.Career development support and wide ranging learning opportunities.Employee health and wellbeing support EAP, wellbeing guidance etc.Carbon neutral initiatives/goals.Corporate social responsibility initiatives including support for volunteering days.Well known companies discount ...

within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Our tech stack ð While we advocate … seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data centric decision making in both public and private sector organisations.Work to agile best practices ...

Skills: Deep vulnerability research, exploit R&D, manual pentesting (cloud/web/embedded/mobile), SIEM/logging platforms (Splunk, OSQuery), AI/ML security, and distributed systems. Education & Certifications: Master's degree preferred; Cloud/Security certifications (CCSP, CCAK, AWS Security Specialty, OSCP, CISSP, SANS/GIAC). … scheme. Private medical insurance. Employee stock purchase plan. Flexible working options. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. ...

performance, risks, priorities and investment recommendations. Required qualificationsSignificant experience in product innovation, data science, or technology strategy roles, including substantial experience applying AI/ML solutions within the financial services sector.Strong understanding of banking, financial technology or enterprise software, ideally across core banking, lending, payments, digital banking or analytics. Practical … Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute.Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular ...

platforms and advanced compute and storage infrastructure across Novo Nordisk’s R&D and enterprise ecosystem. Build the foundations that allow scientists, data scientists, ML engineers, and product teams to accelerate drug discovery, clinical development, and business outcomes through scalable, compliant, and responsible AI. Your main responsibilities include: AI Platform … responsible AI Drive adoption across research, pre-clinical, clinical, and business functions Architecture and Engineering Lead architecture and engineering teams responsible for AI/ML platforms, data platforms, AI infrastructure, cloud platforms, Kubernetes, and platform operations Deliver secure, scalable, observable, and cost-effective AI services across cloud, hybrid cloud ...

degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field.2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems.Strong proficiency in Python, plus experience with … such as LangChain, AutoGen, or Semantic Kernel.Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter.Familiarity with ML/DL frameworks such as PyTorch or TensorFlow.Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems.#LI-NM1What ...

degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field. 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems. Strong proficiency in Python, plus experience … LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. ...

Backend Software Engineer (IC3) to join our AI & Data Products squad and help build the next generation of product features powered by AI, ML, and intelligent automation. This is a hands-on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences. You will … into Spendesk's user journeys, helping reduce manual work and make our product more proactive and intelligent. You will collaborate closely with the 3 ML Engineers in the squad, as well as Product Managers, Designers, and applicative squads across Spendesk. Together, you will build production-grade services that expose ML ...

integration with manipulation (RGB‐D, point clouds, grasp planning), human‐robot collaboration safety and cobot standards, simulation environments (Gazebo, MuJoCo, Isaac Sim), AI/ML for robotics (reinforcement learning, imitation learning, learned grasping), or laboratory and pharmaceutical automation is valuable but not required. What this Role ...

shaping the future of fintech – and we’re just getting started. There are a myriad of opportunities to use AI/ML as part of business processes in checkout, and we’re looking for an expert to help us make these a reality. Unlike many such roles, this … opportunity to truly drive innovation at scale that matters. We’re looking for a Staff Level AL/ML engineer to accelerate our adoption into the AI era; helping us set our AI vision and show us what is possible. As part of the Data and AI platform team ...

Williams Lea seeks a highly skilled Senior ML Engineer to design, develop, deploy, and maintain scalable ML and Generative AI solutions for enterprise applications. The role covers end‐to‐end ML pipelines, LLM integrations, and production‐grade AI systems across AWS and Azure. The successful candidate will have 6+ years … experience in Python, ML model deployment, and cloud‐native platforms, with a strong MLOps mindset and collaboration across data scientists, platform engineers, and product #J-18808-Ljbffr ...

master and owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handy with the most common … services or APIs. Experience with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker ...

equivalent research/industry experience Demonstrable hands-on experience building and deploying document understanding systems, information extraction pipelines, or knowledge graph construction using deep learning, LLMs and NLP methods Proven ability to translate complex document understanding problems into innovative AI applications that balance accuracy and efficiency Professional experience scaling … efficiency optimization including knowledge distillation, model compression, and designing SLM-based solutions that balance performance with computational constraints Solid understanding of DL/ML approaches used for NLP tasks Experience designing annotation workflows, creating high-quality labeled datasets with clear guidelines, and developing evaluation frameworks for document understanding tasks #LI ...

permanent talent and contractors. Mentorship: Coach existing team members through process updates and modern cross-functional ways of working. Skills & Qualifications Data Science & ML Expertise: Strong academic background (e.g., Master’s degree in Data Science or a scientific discipline with significant ML focus) alongside practical data science experience. Software Engineering ...

permanent talent and contractors. Mentorship: Coach existing team members through process updates and modern cross-functional ways of working. Skills & Qualifications Data Science & ML Expertise: Strong academic background (e.g., Master’s degree in Data Science or a scientific discipline with significant ML focus) alongside practical data science experience. Software Engineering ...

have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses Experience building production‐grade ML pipelines Experience using infrastructure as code (Terraform, Cloud Formation, or other) Experience using CI/CD principles. You don’t need to tick off everything … this list – so don’t let that hold you back from applying. We want to make sure you’re learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user‐friendly products and services that deliver positive outcomes ...

stakeholders and colleagues in order to solve problems and understand issues. Happy in a remote working environment. Keen interest in new technologies and learning about them. Benefits Competitive salary and compensation package. Exclusive access to AWS & Databricks certifications, training, and partner tools. Remote work with regular team socials. Work … with a highly experienced, motivated team of experts in Cloud, Big Data and Machine Learning. #J-18808-Ljbffr ...

Data Engineers, Data Scientists, and Platform Teams* Technical documentation and knowledge transfer* Agile delivery experience**Desirable Skills*** POSIT/RStudio migration experience* AI/ML and LLM integration* RAG and Vector Database exposure* Regulated industry experience## **We are a Disability Confident Employer:**Capgemini is proud to be a Disability Confident … does 'Get The Future You Want' mean for you?**You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous ...