76 to 100 of 426 Remote/Hybrid Machine Learning Jobs

shaping the future of cyber and intelligence. We're committed to innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities. This Program is seeking a full stack software engineer to develop, maintain and enhance … substituted for a bachelor's degree. Full stack development including; JavaScript, React, and Mongo, prior analytic experience, production environments Desired Skills: Agile software development, Machine Learning, Map Reduce technologies (Hadoop, Hive, Pig etc.), Distributed Big Data Store (NoSQL), JSON, and Accumulo. Clearance Level: TS/SCI w/ ...

ASAP The Opportunity: Join an innovative start-up on the cutting edge of Augmented Reality (AR), Artificial Intelligence (AI), and Machine Learning (ML) technologies. Their mission is to transform and enhance safety within an Engineering Maintenance & Repair environment. Following the success of a prototype being developed and securing … feedback, ensuring the product meets their needs Engage in the full software development lifecycle, including planning, coding, testing, and deployment Collaborate with AI and ML Engineers to integrate intelligent features into the customer portal The Person: We are seeking a talented Software Developer with a solid JavaScript experience who will ...

Forecasting HQ in Wendover. We have a high-growth, technology-first mindset and have invested significantly in advanced forecasting models, high-performance computing, machine learning, and scalable data platforms to deliver our expertise to our target markets. About the Role We are looking for a dynamic and commercially … Forecasting Solutions. Harnessing our highly regarded existing technology platform, this is a new role within MetDesk focused on driving revenue for our suite of ML-based wind and solar forecasting products. These products target utilities, IPPs, traders, grid operators, and asset managers. Our unique blend of technology enables ...

Insurance sector. In this senior role, you will take ownership of designing business-facing data models that underpin modern data ecosystems, including advanced analytics, machine learning and domain-oriented data products. You will work closely with stakeholders across business and technology functions to understand their objectives, define common … define a common language for data across the organisation Shape strategic roadmaps for data and AI capabilities, ensuring data foundations support analytics, reporting and machine learning use cases Facilitate data design workshops, gathering and documenting requirements and reviewing outputs with business and technical stakeholders Support business development through ...

Role: Data & ML Architect Location: Newcastle Upon Tyne Levels: Associate Manager Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address … cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview As a Data & ML Architect, you will lead the design and architecture of scalable, enterprise-grade data platforms and advanced machine learning solutions. You will define ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

Demonstrations Candidate development tasks may include : • Development of requirements, algorithms and implementation of autonomous UAV functions (e.g flight plans, low level flight) • Integration Machine Learning models into existing UAV C2 system • Integration of a UAV model into existing synthetic environment • Bug fixes following verification and integration testing Experience …/Skills Required • Experience developing SW for autonomous applications • Experience integrating and developing Machine Learning models • UI Design • Algorithm development • Requirements management in Enterprise Architect/DOORS/JIRA • Model Based Sys Eng and SW Modelling in Enterprise Architect • Source code management in GitLab • Primarily C++, optionally C# ...

with some of the most technically advanced AI companies, focused on the DACH region. We have the opportunities to specialise in software, data engineering, machine learning or product. This role is suited to an experienced consultant who operates with autonomy, values depth in their market, and wants … recruitment experience in-agency, ideally within software, AI, or a related technical market. We have opportunities to specialise in software, product, data engineering or machine learning and will support a the growth and transition into these areas. No prior definitive experience in AI is required. Beyond experience ...

Title: AI Engineer/Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer/Machine Learning Engineer to join their expanding AI practice click apply for full ...

basic p.a. (+ double OTE and between 0.25 - 0.5% equity) Our client is a Series B, AI-driven FinTech building applied machine-learning products for enterprise financial institutions. Rather than incremental tooling, they focus on high-impact systems that directly influence revenue, risk, and decision-making across complex … Credible engaging senior financial, technical, and executive stakeholders • High ownership mindset with builder mentality • Consistent record of quota overperformance • Exposure to AI, data, or machine-learning-led products • Background selling into financial institutions • Experience shaping GTM strategy, not just executing it Why this role • Commercially proven AI business ...

ML Engineer London, hybrid three days a week. Competitive salary between £60,000 and £70,000 plus benefits. This is an exciting opportunity to join a fast-scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help … deliver customer-facing AI features, internal automation, and traditional ML models within a modern cloud environment. The Company They are a rapidly growing consumer brand and technology business known for combining retail excellence with innovative digital products. Their data science and ML engineering teams power personalisation, automation, and business intelligence ...

responsible AI adoption. You will be responsible for building Nest into a data and AI enabled workforce.This role blends technical expertise with adult learning principles. You will educate, upskill and empower colleagues at all levels to use data and AI tools effectively and with confidence. Are you a natural … training others in technical topics? Champion others' Personal Development? Can you design, deliver and always improve the organisation's learning experiences to build data & AI literacy? If yes, we want to hear from you.Because of your ability to train others, and your technical know-how in both data ...

Role/Job Title: AI & ML Senior Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 days in office The Role Were looking for an AI & ML Senior Engineer to join … growing ML Engineering team. Youll work alongside data scientists, engineers, and product managers to develop, deploy, and operate robust ML systems that power key services across our Digital and Retail platforms. This role focuses on ML Ops and ML Platform development, helping us to scale and maintain production-ready ML ...

architectures that integrate AI capabilities with existing insurance systems and digital platforms. Key Responsibilities Translate the vision of senior client stakeholders into an AI, ML, and GenAI architectural strategy and implementation roadmap, ensuring alignment with organisational goals and digital transformation initiatives. Provide guidance on the suitability of AI and ML … initiatives and identify use cases that can scale across the organisation. Design, recommend, and implement end-to-end architectures that integrate AI and ML solutions with existing insurance platforms and enterprise systems. Collaborate with enterprise, application, data, and DevOps architects, along with data scientists, MLOps engineers, GenAI engineers, and business ...

including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for our go-to infrastructure partner to join our team and get on board this … Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure. • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines. • Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation ...

successful candidate will play a key role in designing, developing, and maintaining the data infrastructure that powers analytics, reporting, automation, and AI/ML use cases across the organisation. Key Responsibilities Design, build, and maintain scalable, secure, and reliable data pipelines (batch and streaming). Develop and optimise ETL/… workflows. Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, ARM, etc.). Strong understanding of data quality, testing, and observability practices. Desirable Skills Experience supporting Machine Learning pipelines or feature engineering. Knowledge of containerisation (Docker, Kubernetes). Experience with dbt for modelling and transformation. Background in financial services, payments ...

Role: Full-time (Permanent Role) We are building a world-class AI research team focused on advancing next-generation agentic systems and intent-aware learning architectures. Our mission is to bridge cutting-edge research in large language models, reinforcement learning, and alignment with scalable, real-world production systems. … Computer Science, Machine Learning, NLP, or related field (exceptional MS candidates considered). 5+ years post-PhD (or equivalent industry experience) in ML research. Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). Demonstrated track record of translating research into production systems. Experience ...

will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering … stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency ...

with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models ...

cases aligned to business drivers Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender … search, embeddings) ✅ What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers : hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

STEM, Computer Science, Mathematics, Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle ...

Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. Desirable Experience Experience coordinating or supporting AI/ML initiatives within data platforms. Experience working within large, regulated, or international organisations. ...

. Working on Software solutions with a technical stack around C# .NET, Python, SQL, APIs, Azure, Power Platform and SaaS/PaaS AI/ML experience: Not required, but significant differentiator Must demonstrate understanding of AI principles and risks Generative AI is heavily used in prototyping Experience of taking ...

. Working on Software solutions with a technical stack around ,C# .NET, Python, SQL, APIs, Azure, Power Platform and SaaS/PaaS AI/ML experience: Not required but significant differentiator Must demonstrate understanding of AI principles and risks Generative AI heavily used in prototyping Experience of taking new business ...