26 to 33 of 33 Data Pipeline Jobs in Bath

awareness: you understand value propositions, return on investment, trade-offs (cost vs speed vs write-down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g. CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond ...

Lead Data Engineer – Contract - OUTSIDE IR35 £400 per day - 6 months (potential to be extended) - Immediate Start Remote (UK-based) Uneek is looking for a Lead Data Engineer to join on a 6-month contract with the possibility to extend. This role is remote (UK-based … data pipelines using dbt, SQL, and Snowflake Delivering backlog items and improving data models Driving tech debt remediation and pipeline reliability Collaborating with engineers, analysts, and stakeholders to enhance data delivery Start Date: Immediate – quick interview process. ...

rehabilitation progress. -Behavioural analytics (e.g., detecting self-harm risk via AIM). -Intelligent workflow automation for case management systems. Develop and optimize robust data pipelines, ensuring privacy and compliance with strict security standards. Continuously improve model accuracy, fairness, interpretability, and scalability. Stay up to date with research … recommend innovations that align with Unlinks vision and the sensitive nature of justice services. Person Specification Must-Have: Degree in Computer Science, AI, Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms ...

proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping ...

company's clinical platform. You'll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into robust, data-driven solutions. This is a hands-on role with broad impact—touching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities … Design and implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical ...

will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new models Continuously improve solutions and conduct performance evaluations ...

growth, scaling the platform, and building a high-performing engineering team. About the Role You will take full ownership of the platform architecture, data pipelines, integrations, and multi-tenant SaaS infrastructure. This is a highly visible, strategic role where you will work closely with the founder and early … customers, ensuring the platform is scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud ...

whose platform shows large enterprises how they could be compromised in real time, before attackers succeed. They blend attacker behavior, large-scale data pipelines and automated offensive security to give security teams true, live exposure visibility. The Role for Engineering Manager, Cybersecurity Applications You'll be the global … account lifecycle, auth/SSO, granular access control, notifications, logging and multi-tenancy • Partner tightly with Product and Design to turn complex security data into simple, powerful workflows that customers love • Shape engineering practices across teams, embedding quality, security and agility into how software is built and shipped ...