51 to 75 of 77 Machine Learning Jobs in Berkshire

mind • R&D work for functional programming (either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml • Machine Learning Infrastructure and search models • Quant Logic/Research models for Alpha Generation Key Responsibilities Design, develop, and maintain scalable, high-performance applications Build ...

MVPs and POCs Ensure compliance with ISO 27001, Cyber Essentials Plus, and internal security policies Stay ahead of emerging technologies across cloud, AI/ML, and information security Skills and experience Strong hands-on experience with Azure hosting and cloud technologies In-depth knowledge of cloud platforms, Azure essential ...

Professional Experience 5–7 years of experience as a Software Engineer or Data Engineer. Minimum 2 years of hands-on experience in AI/ML or data-intensive application development. Demonstrated experience designing, building, and testing MCP-based or similar integration solutions. Proven track record delivering production-grade data pipelines ...

services that ingest, process, and serve large volumes of video and sensor data Design scalable APIs and distributed systems that power our frontend and ML pipelines Collaborate on shaping infrastructure, architecture, and technical strategy from the ground up Solve complex problems involving real‐time processing, distributed systems, and high availability ...

Insurance (London Market highly desirable) Strong hands-on expertise in platforms such as UiPath, Power Automate, Blue Prism or similar Experience integrating AI/ML models (LLMs, NLP, computer vision) into operational workflows Strong understanding of underwriting, claims or delegated authority processes Experience leading and mentoring technical teams Ability ...

Process: Intro call where we talk about the role. Technical discussion with the Head of AI. Deep-dive session with a Backend Engineer and ML Engineer from the team. 30-minute conversation with the Founder. Why This Is Worth Your Time Real ownership: You'll be the architect behind ...

competitive advantage. The Products You'll Sell Sherlock - Legal Case Analysis Platform Court preparation transformed from weeks to minutes. Sherlock ingests case materials , applies ML-powered analysis, and generates structured outputs for lawyer review . Our Related Cases database grows with every analysis-a proprietary moat delivering 55 70% time ...

Sales, Marketing, and Customer Success teams Additional Qualifications Private Equity environment experience including PE reporting, growth acceleration strategies, and acquisition integration timelines AI/ML and Agentic product experience highly desirable Accounting domain expertise including GAAP, IFRS, and regulatory requirements across UK, US, and international markets highly desirable International business ...

datasets, and benchmarks to guide embodied AI strategy Collaborate with robotics, research, and platform engineering teams What We're Looking For Strong experience in machine learning for vision, robotics, or embodied AI Deep expertise in scene understanding, spatial … reasoning, or 3D perception Hands-on experience with large models (VLMs, VLAs, transformers, diffusion, multimodal models) Advanced PyTorch skills and experience deploying large-scale ML systems Strong research and experimentation mindset - from concept to production Comfortable working in a fast-paced, research-driven startup environment What We Offer Competitive salary ...

tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time … experiments that measure monetisable outcomes (conversion, pilot → paid, ARR influence). Own hypothesis, experiment design and go/no-go decisions. Partner with Data & ML to validate metric integrity and translate experiment results into commercial recommendations. GTM partnership & pilots (10%) Design convertible pilots with Sales/CS: define success criteria ...

trading systems Write efficient code to minimise latency, maximise throughput and ensure seamless operation under high-pressure conditions Driving innovation by exploring new technologies, machine learning and cutting edge tools to advance competitive edge Who You Are: Strong proficiency in any OO language (they are agnostic) - (low-latency ...

marketplace building the AI-native backbone of secondhand commerce. This is not feature work. This is architectural ownership. Stack: Node, TypeScript, AI/ML-integrated services (Open to languages) You will: • Define backend architecture across core marketplace systems • Work in sync with best in-class design & product teams • Design ...

Experience leading or coordinating technical teams and delivery workstreams • Confidence working directly with clients and senior stakeholders • Nice to have experience with AI or ML systems, LLMs, or agent-based workflows Why is this interesting • Exposure to meaningful AI systems used by world-leading enterprises • High autonomy in technical ...

network. Company: Well established cyber vendor with a strong portfolio due to some strategic acquisitions: vulnerability management, app security and threat intelligence. (cloud, AI &ML) Multi award winning vendor and recognised in industry reports for their innovation. Global team of over 400 employees - strong foundations from pre-sales & marketing support. ...

cloud networks. The role focuses on enhancing real time observability, proactive detection, anomaly identification, event correlation, RCA, and predictive insights using AI/ML techniques, while ensuring seamless integration with assurance, NOC/SOC workflows, and cross domain OSS systems. The ideal candidate brings deep knowledge of fault/performance ...

operational models. Key Responsibilities Lead design of solutions leveraging Intelligent Automation Platforms (RPA, low-code/no-code automation, event-driven automation, AI/ML driven automation). Define architecture patterns for AI-enabled communications, including NLP, GenAI, intelligent routing, and automated decisioning models. Ensure alignment with telecom standards … Strong hands-on understanding of Intelligent Automation Platforms (e.g., Pega, UiPath, ServiceNow Automation, Automation Anywhere, Camunda, or similar). Proven experience in AI/ML, data modeling, data lakes, event streaming, and analytics (e.g., Kafka, Spark, Python ML stack). Deep exposure to telecom protocols and domains Experience with cloud ...

pipelines at scale Background in operations research or supply chain optimisation Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text ML Skills We're Looking For This role sits at the intersection of classical econometrics and modern machine learning. You don't need … outperform neural approaches on structured data, and vice versa. Strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation. Deep Learning for Sequences. Hands-on experience with temporal architectures - LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar. Understanding of attention mechanisms and when transformer ...

advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML ...

move fast — without building tech debt mountains Must-Haves 3–5 years in a technical leadership role Proven track record delivering AI/ML products from inception to production Deep hands-on expertise in at least one core ML domain (strong preference for computer vision and/or generative … Experience with LLMs, conversational AI and evaluation of generative systems Strong MLOps and engineering mindset Hands-on with AWS, Python, SQL and modern ML tooling Strong data engineering and annotation strategy experience Experience leading teams and working with senior stakeholders Comfortable in fast-moving, evolving environments Simplicity mindset: start simple ...

Responsibilities: Design and implement Azure-first cloud infrastructure (networking, identity, storage, Kubernetes). Support data lakes and warehouses (e.g., Snowflake). Enable data/ML platforms like Databricks, Azure ML, Synapse, MLflow, Airflow. Drive automation with Terraform, Azure DevOps, CI/CD pipelines. Embed security and compliance standards (GDPR … looking for: 2–3 years experience in cloud infrastructure (Azure essential, AWS nice-to-have). Hands-on experience with data platforms and ML tools. Strong understanding of cloud security and governance. Lifesciences experience is a bonus—not required. What we're NOT looking for: Someone with 10+ years experience. ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Reading (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Reading (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

Collaborate with architecture and engineering teams to design automation workflows and integration points. Support initiatives like zero-touch automation, leveraging Data and AI/ML-driven operations for predictive and proactive network management. Document use cases, process flows, and integration requirements for automation platforms. Act as a subject matter expert … automation, transport network automation, and end-to-end service orchestration. Familiarity with service assurance frameworks and zero-touch automation principles. Understanding of AI/ML-driven operations and data analytics in telecom environments. Ability to translate complex business needs into actionable technical requirements. Excellent documentation, stakeholder management, and communication skills. ...

.NET Developer, .NET 10.0 - Social Networking Site - Newbury (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

Senior System Engineer (AI/ML) | Permanent position Location: Central London Onsite: 5 days a week (South Kensington/Waterloo) Salary: Up to £82,500 + Excellent Benefits Available position: 2 positions Our client, an IT consulting and services provider, is seeking an experienced AI/ML Platform Engineer … support a transformative project within the UK education sector. You'll play a critical role in delivering and maintaining a cutting-edge AI/ML Operations platform for a prestigious academic institution. The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering ...