101 to 125 of 675 Remote Machine Learning Jobs

experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your ...

machine‐learning models to predict claims outcomes, fraud and other risk KPIs, including creating novel features from raw telematics data. Collaborate with ML Engineers to deploy ML models. Monitor deployed ML models and link performance to commercial and customer outcomes. Present work to Operational and Commercial stakeholders. Explore … technologies and contribute to setting the team’s best practices. Essential Skills & Experience Proficiency in Python and experience with ML libraries for building and deploying machine‐learning solutions in cloud environments. Experience using SQL. Ability to communicate and collaborate across teams of Data Scientists, Data Engineers, ML Engineers ...

game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ML Eng, Data engineers, analysts and product owners. Role Overview Within the various studios and other central teams, you will interact with data, engineering, and product … developing games and features. Progression opportunities will be within the AI group or to studios in the group. Key Responsibilities Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data. ...

currently possible, and they need security to keep pace with that speed. Reporting straight into the CISO. Think of yourself as the bridge between ML engineering, platform architecture, and security, making sure nothing sensitive gets exposed as the science moves fast. Its still a scaling environment. Theres ambiguity, and youll … Security Engineer, you'll take ownership of security across the AI platform and its agentic systems. Map out the threats specific to AI and ML, and build that into a proper risk framework Decide how model weights, training data, and code get tracked and locked down Build guardrails and sandboxing ...

currently possible, and they need security to keep pace with that speed. Reporting straight into the CISO. Think of yourself as the bridge between ML engineering, platform architecture, and security, making sure nothing sensitive gets exposed as the science moves fast. Its still a scaling environment. Theres ambiguity, and youll … Security Engineer, you'll take ownership of security across the AI platform and its agentic systems. Map out the threats specific to AI and ML, and build that into a proper risk framework Decide how model weights, training data, and code get tracked and locked down Build guardrails and sandboxing ...

Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles … numerate discipline. Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ML systems. A passion for mentoring and developing early-career data talent. Why Join Capco Deliver innovative, high‐impact data solutions for Tier 1 financial institutions. ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in BigQuery, supporting ML teams … Nice to Have Experience with additional GCP services, such as: Cloud Run Cloud SQL Cloud Scheduler Exposure to machine learning workflows (not ML engineering) Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific data Please send your ...

Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines andMLOpstooling. The roleis responsible forestablishingAI engineering standards,governanceand best practices across the model lifecycle, ensuring solutions are scalable, secure … fast-paced technology environment. Strongexpertisein machine learning,MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/Azure ML). Proven experience implementing AI engineering standards, deployment automation, modelmonitoringand Responsible AI frameworks. Excellent analytical, problem-solving and stakeholder management skills. Strong written, verbal ...

responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: * Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance … major Consulting firm, and/or in industry * A strong consulting mindset with experience engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure ...

Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model … teams through coaching, succession planning and recruitment. About you Significant leadership experience in AI Engineering within a fast‐paced technology environment. Strong expertise in machine learning, MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/AzureML). Proven experience implementing AI engineering standards ...

twice per week, with flexibility to work remotely three days p/w. What you'll be doing: Clinical Prediction Models: Design and implement ML models predicting patient outcomes including medication adherence, treatment response, adverse event risk, and clinical deterioration Patient Stratification: Build risk stratification models identifying patients who would … from clinical interventions, medication therapy management, or enhanced monitoring Treatment Optimization: Develop models recommending optimal treatment pathways, medication alternatives, and personalized clinical interventions Healthcare ML Best Practices: Ensure models meet healthcare standards for interpretability, clinical validation, and regulatory requirements (FDA guidance on clinical decision support) Product-Embedded Analytics: Lead integration ...

delivery — this is your chance to shape the intelligence behind the future of work. Join RoleMapper and lead the evolution of our AI and ML capabilities that make workforce decisions fairer, smarter, and more transparent. About RoleMapper In a world where organisations are facing significant skills challenges, increasing compliance requirements … phase of growth and position RoleMapper at the forefront of AI in work design. Responsibilities Translating product vision into a feasible, scalable AI and ML roadmap that delivers measurable business value and aligns with commercial goals. Designing and scaling RoleMapper’s AI and Machine Learning models, combining leadership ...

/London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large‐scale ML pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master’s or PhD in Computer Science ...

systems. R&D: Working on functional programming, either with pre-existing languages (such as Rust and Erlang) or purpose-built languages similar to OCaml. Machine Learning: Building out Machine Learning infrastructure and tweaking research models. Requirements Technologist: Keen technologist; language agnostic but ideally experienced in Rust ...

machine learning solutions across an evolving enterprise data environment. This is a hands-on role working across the full ML lifecycle, from prototype through to production, focused on delivering scalable, value-driven outcomes. Experience requirements & Responsibilities : Develop and deploy machine learning models to solve business problems. … Translate prototypes into production-ready solutions. Build and maintain data pipelines and ML infrastructure. Prepare and analyse large datasets, extracting actionable insights. Evaluate, optimise and monitor model performance. Support the design and delivery of AI initiatives. Work within Agile teams and engage with stakeholders across the business. Essential : Strong Python ...

Role Title: Senior Pre-Sales Engineer - Applied ML/HPC Reports to: Head of Solutions Architecture Location: Central London, Hybrid Employment Type: Full Time About ORCA ORCA Computing, headquartered in London, UK, and with an office in the United States, is a developer of full-stack photonic quantum computing systems. … system diagrams clearly Proven ability to build and operate technical demos, prototypes or PoCs, including presenting them to technical stakeholders Experience with AI/ML, HPC, distributed systems, or scientific computing environments, including an understanding of performance, scaling and system architecture Strong programming skills in Python, with familiarity with ML ...

software solutions for XVA risk systems, writing and reviewing production‐quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows — applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take … infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows. This job description provides a high ...

create the integrated technical foundation that enables AI to scale far beyond individual use cases. Job Requirements 10+ years of experience in AI/ML engineering, data science, AI solution architecture, or senior technical leadership roles. Deep expertise in ML, MLOps, AI engineering, and GenAI—including model architectures, evaluation methods … sales engagements, including proposals, RfPs, solution visioning, demos, and technical storytelling. Shape Vector8’s AI point of view, frameworks, and best practices in ML, MLOps, and GenAI. Ensure High-Quality Delivery Across the AI Lifecycle Establish high standards for engineering excellence, model quality, solution robustness, and responsible AI practices. Foster ...

software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards.* Build and integrate AI and Machine Learning solutions into core XVA workflows — applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output.* Take … infrastructure as code.* Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus.* Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.This job description provides a high-level ...

Spotify AB is looking for a Senior Staff Machine Learning Engineer to build and scale ML systems for content understanding and decision-making across the platform. This role is foundational to ensuring high-quality content delivery while enabling innovative interactions. You will shape the machine learning strategy and collaborate with various teams to uphold content standards. The position offers flexibility to work from home and numerous learning opportunities. #J-18808-Ljbffr ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

looking for a Senior AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business. This is an opportunity to join at the beginning of the platform's journey. Rather than inheriting … Engineering Lead and fellow senior engineers. About You AI Platform Engineering 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems. Experience designing and deploying enterprise AI applications into production with a strong focus on scalability ...

Creandum Advisor LLP is looking for a Senior Staff Machine Learning Engineer to build and scale ML systems that ensure safety, policy enforcement, and compliance across Spotify’s content. This role involves defining machine learning strategies, developing automated decisioning systems, and collaborating across teams to maintain … high standards of content quality. The ideal candidate should have strong experience with production-grade ML systems and modern frameworks like PyTorch and TensorFlow. The position offers flexibility to work from home while requiring occasional in-person meetings. #J-18808-Ljbffr ...

Engineering to take models from idea to production and measure real‐world impact. What you’ll do Lead the design, development and deployment of ML and AI‐powered data products for pricing and revenue. Act as technical lead across modelling work, championing rigour, robustness and reliability. Guide customer intelligence … personalisation models, including recommender systems. Work with Product, Delivery and ML Engineering to productionise models and monitor performance. Mentor and support data scientists, fostering curiosity, learning and technical excellence. Promote a data‐driven culture through experimentation, storytelling and clear communication. What you’ll bring Proven experience implementing or optimising ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...