1 to 25 of 28 Remote/Hybrid Machine Learning Jobs in Inverness

ML Infrastructure Lead About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring … Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership ...

quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps … passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‐driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise ...

role We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability … though many are shorter. What you’ll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention ...

critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately … expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will ...

remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Responsibilities: Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass … plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Who you are: Must-have requirements: Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years ...

build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform … teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. What You'll Do Architect, design, and implement highly scalable backend services (Java ...

launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based … Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications. Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems. Experience working with data science and engineering teams to develop AI-based features. Ability to translate complex ...

engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What … production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. ...

Impulse is the leading edge AI platform, enabling companies to build smarter edge products. Our technology empowers over 100,000 developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of our robust platform with custom … nice to have, but not required. We have an amazing team to take care of the low-level aspects. Collaborate with our world-class ML team to showcase their research through Studio. No ML background is required, but a readiness to learn is essential! Maintain and extend the Edge Impulse ...

build the future of AI. Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. … right place for you. Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

cycle (preferably Agile) Thorough grounding in containerisation e.g. Docker, Kubernetes Shell scripting Experience with BI An interest in software-engineering or data-science e.g. ML/DL/AI/Statistics Project management experience Humanitarian knowledge/experience Additional Information This is a remote position and you will be expected ...

diverse log sources across complex enterprise environments. Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and modern DevSecOps practices. Exposure to machine learning or AI-driven security analytics platforms. Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent. Experience supporting or replacing … Offer Competitive salary commensurate with experience Unlimited holiday allowance Hybrid working model with flexibility around customer commitments Bi-annual career progression review Personal learning and development budget MacBook and all necessary tooling provided Enhanced pension scheme Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn ...

into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use • Collaborate with Product to translate business problems … Strong backend engineering experience (RoR and/or Golang preferred) • Experience integrating APIs and working within distributed systems • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar) • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow ...

Azure/Fabric experience. Advanced Power BI skills and experience operationalising models. Ability to communicate insights clearly to non-technical stakeholders. Machine Learning Experience. Equal Opportunities Statement We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities ...

Pulsar, Python Experience with networking and security concepts Interest or experience with marketing technologies Interest or experience with big data, data analytics, AI and machine learning Ireland (Dublin) or UK (London or Milton Keynes ...

solve one of the biggest recruitment challenges whilst ensuring every candidate has a fair and positive experience. Working closely with our AI/ML and Occupational Psychologist teams, you’ll shape how hiring teams understand talent and make their most important decisions. Key responsibilities: Own a key product area, working ...

Role: AI Engineer Experience: 8-10years Location: London Contract duration: 12 months Job Description: Proven experience as an AI, Machine Learning, or Privacy Engineer. • Proficiency in programming languages such as Python is added advantage. • Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. • Experience working … technical stakeholders • Experience with adversarial testing and robustness evaluation of AI models. • Experience in the end-to-end development of AI/ML models and applications. • Ability to lead and train the team on model training ...

success. The day-to-day work is comprised of working on projects using cutting-edge technologies like RPA and connected technologies like machine learning, chatbots, and content intelligence tools like ABBYY, UiPath, Automation Anywhere, NICE, etc. both in-house and at our customer's offices (UK mostly NewCastle ...

Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense ...

system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding ...

t. You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage, and high-performance computing at customer sites and in the lab. You will work directly with customers, and various business ...

users and clients. Who You Are 5+ years in Software Product Management, with specific focus on Data Products, Data Platforms, or AI/ML products. Experience working as a product manager on open source technologies. You have "survived and thrived" in both fast-paced startup environments and complex corporate structures. ...

Exceptional problem-solving, communication, and leadership skills The nice to haves: Experience with procedural or physics-based animation systems Knowledge of motion matching or machine learning in animation Shipped multiple commercial games in a technical leadership role Familiarity with animation middleware (e.g., Havok, HumanIK) We are nDreams ...

deliver features and services that power AI-enabled products used by some of the most respected organisations in the UK. Working alongside software engineers, ML specialists and product colleagues, you’ll contribute to architecture discussions, influence the technical roadmap, and support a culture of engineering excellence. Key Responsibilities: Build … modern messaging systems. Support CI/CD practices, including infrastructure as code, containerisation, and GitHub Actions or Jenkins. Collaborate cross-functionally with Product, ML Engineers, and Designers to define, plan, and deliver features. Mentor junior engineers and champion best practices in testing, documentation, and code quality. Troubleshoot performance and reliability ...