651 to 675 of 1,241 Machine Learning Jobs

summer long internships, year-in-industry or employment after graduation) in software engineering ideally including release of productised code. - Experience with Python using ML related libraries and frameworks (TensorFlow, PyTorch), ideally for rugged vision systems or other hardware related area. - Any exposure to embedded/control systems, algorithm development, mobile ...

core robotics product. Support algorithms and systems for perception, planning, control and decision‐making. Work closely with embedded software, systems and AI/ML engineers to integrate components into the wider system. Contribute to testing, validation and optimisation to meet performance and reliability requirements. Help improve development processes, tooling ...

services Skills and ExperienceEssential Proven track record as a Product Manager in a digital or technology-led environment Hands-on experience delivering AI/ML-powered products Strong understanding of: Large Language Models (LLMs) NLP, classification, extraction, summarisation Retrieval-Augmented Generation (RAG) or similar architectures Experience working in regulated environments ...

Skills and Experience Essential Proven track record as a Product Manager in a digital or technology-led environment Hands-on experience delivering AI/ML-powered products Strong understanding of: Large Language Models (LLMs) NLP, classification, extraction, summarisation Retrieval-Augmented Generation (RAG) or similar architectures Experience working in regulated environments ...

design, accessibility standards and code maintainability. Nice to Have Experience with server‐side rendering or static site generation (Next.js). Exposure to AI/ML integrations or advanced analytics in a front‐end context. Familiarity with GraphQL or micro‐frontend architectures or enterprise‐grade front‐end tooling. What We Offer ...

gets built, not just how What We're Looking For 6+ years of production software engineering experience, with a growing focus on AI and ML applications Strong command of TypeScript and Python; experience with microservices, async architecture, and AWS infrastructure Hands-on experience with LLMs, RAG workflows, or agentic systems ...

experience, with a strong track record building and scaling B2B data-heavy or analytics platforms in complex enterprise environments. Demonstrated experience shipping AI/ML-enabled products , ideally within forecasting, simulation, or decision-support systems. Background in pharma, biotech, or other highly regulated, science-driven sectors advantageous, with appreciation ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML, analytics, and scientific data systems (e.g. genomics, clinical, real-world data) with emerging AI architectures to deliver measurable value. C-Suite and Board-Level Communicators: Able ...

stakeholders Bonus Points For... ⭐ Experience with HIPAA or regulated healthcare software ⭐ Background in digital health or mission-driven consumer products ⭐ Familiarity with AI/ML integration in production systems ⭐ Knowledge of ISO 27001, ISO 9001, or SOC2 frameworks Why Join Us? We're not building another app. We're reshaping ...

human-in-the-loop workflows Oversee the development of a knowledge graph and data enrichment pipelines to unlock proprietary data value Drive AI/ML Ops maturity , including LLM deployment, RAG pipelines, and evaluation frameworks Engineering & Architecture Define scalable, cloud-native architectures across GCP (preferred) and AWS Lead cross-cloud ...

/IP, DNS, HTTP/S, SSL/TLS, SMB, RDP protocols. Knowledge of virtualization technologies and secure system design. Familiarity with AI/ML and Cloud technologies. Soft Skills: Strong analytical and investigative mindset. Excellent documentation, communication, and teamwork skills. Self-motivated and able to manage tasks independently. Strong ...

modern AI‐driven software architectures. Able to translate technical capability into clear business value. Fluency in AI and modern tooling: comfortable discussing AI/ML concepts, real‐world analytics use cases, and working with contemporary tools such as GenAI assistants, cloud platforms, and workflow automation technologies. Experience with long‐cycle ...

addition CCISS supports development, trials and research work through provision of appropriate data pipelines, and curation and analysis of data for activities including machine learning. CCISS also provides substantial computing support for the HSE Approved Dosimetry Service for RRPPS, the regional specialist service for radiation safety and imaging quality ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware–software ...

revenue target for the practice, identifying and securing strategic AI advisory engagements. GTM Strategy: Define and execute go-to-market strategies for AI/ML service lines, spanning advisory, agentic systems, and decision science. Commercial Innovation: Develop innovative commercial models, including risk-based contracting and IP licensing for proprietary … regulated industries (e.g., Financial Services, Pharma, Energy). 4. Team Leadership & Capability Building Scaling Practices: Help build and scale high-performing AI/ML teams, overseeing talent acquisition and skills development. Operational Excellence: Define organizational readiness models and "automation-first" approaches to reduce operational costs and improve delivery scalability. Required ...

Free eye tests for all employees A paid day off each year for volunteering Free car parking at all our sites Long service awards Learning and Development support, regardless of your career stage Various social events, including the company Christmas party Retirement advice and support So, what will … looking for... Someone who: Has strong experience designing data architectures in a business environment. Understands analytics, Power BI, and modern AI/ML technologies. Can communicate clearly and make complex ideas easy to understand. Enjoys collaborating with others and influencing best practice. Wants to help build a data-driven ...

testing, deployment, handover and post-go-live support. There is also an opportunity to contribute to the integration of broader intelligent automation technologies, including Machine Learning, OCR and NLP, within an established governance framework. Key responsibilities Design, develop and deliver end-to-end automation solutions Review Process Definition … PDDs) and produce Solution Design Documents (SDDs) Develop Power Automate cloud workflows, RPA workflows and hybrid automation solutions Integrate intelligent automation capabilities such as ML, OCR and NLP where appropriate Support SIT and UAT, including preparation of test plans and test data Work closely with technical and change teams ...

media planning & optimisation with analytical insight Lead and develop a team of analysts – technically and professionally Embed a culture of testing, experimentation and learning What we’re looking for Strong analytical background (stats, econometrics, maths, economics, science or similar) Extensive experience in marketing analytics/consultancy/agency-side … analytics Proven track record delivering analytics projects that influence senior decision-makers Expertise in 2+ of: Econometrics/Marketing Mix Modelling Forecasting Machine learning for marketing A/B & multivariate testing Advanced survey analytics (segmentation, driver models, etc.) R fluency is essential (R Shiny desirable) Python/ ...

existing .NET/Angular platform while leading the design and implementation of AI-centric features and integrations. You will partner closely with our ML engineering and infrastructure teams to leverage our in-house GPU infrastructure and Run.ai platform for model training, fine-tuning, and inference at scale. Key Responsibilities Core … Server and MongoDB RESTful APIs; NServiceBus or equivalent service bus/messaging platform. Demonstrable experience in at least one of: Implementing AI/ML-driven features in a production product, or Building document processing/intelligent automation workflows (OCR, classification, extraction, validation). Familiarity with common AI/automation building ...

Management client, the role is to design and develop AI Systems We currently require an AI engineer to design, develop, and deploy AI and machine learning models the focus will be building algorithms, programming AI software, and evaluating model accuracy. Also to undertake the analysis of Business Needs … experience including model development, deployment, testing, and refinement to ensure models work effectively in real environments Candidates must posses strong experience in AI/ML engineering LLMs the design of Agentic workflows gen AI adoption Excellent Comms Skills ...

hardware. What you will be doing: Building edge applications that process real-time vision data Developing communication layers for compute-constrained devices Deploying machine learning models into production Optimising performance (latency, memory, GPU pipelines) in C++ Enhancing observability and telemetry across the platform What We Are Looking … points if you have experience with: Edge/IoT computing Infrastructure management (e.g. Salt) Monitoring tools (e.g. Grafana) Video processing/streaming (e.g. GStreamer) ML model integration (e.g. PyTorch) Why Join? Competitive salary + regular reviews Equity in a fast-growing startup Real ownership and impact on product direction ...

genomics or bioinformatics to work directly alongside scientists and researchers, turning complex biological data into reliable, scalable datasets that can power AI and machine learning models. This role sits at the intersection of data engineering, genomics, and applied research - ideal for engineers who enjoy collaborating closely with scientists … world scientific progress. What you’ll work on Building robust pipelines to process and curate genomic datasets Turning raw sequencing and biological data into ML-ready training datasets Working with formats such as FASTQ, FASTA, VCF and other high-throughput biological data Collaborating with bioinformaticians, computational biologists, and ML teams ...

love for you to be part of the journey. Role Summary You’ll play a key part in supporting our product team — learning the product inside out, assisting with configuration and administration, and helping to deliver high-quality outcomes for our customers in the rail industry. The role would … tasks to assist customers and monitor the performance of our product. Assist the product team in completing validation and ground truth exercises of our machine learning models and positioning data. Personal Qualities and Experience Essential A collaborative, positive & flexible approach. The ability to learn quickly and accurately communicate ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

Lead end-to-end product design (discovery → concept → delivery) Design intuitive AI-powered user experiences using Human-Centred AI principles Translate complex AI/ML capabilities into clear, usable interfaces Own key workstreams with high autonomy Present design decisions and insights to senior stakeholders Champion user-centred design, accessibility … looking for Strong background in Product/UX/Service Design Experience designing AI-powered products or features Ability to simplify complex data and ML concepts into user-friendly design Proven experience leading end-to-end design delivery Strong skills in research, prototyping, and interaction design Experience working in cross ...