26 to 33 of 33 Machine Learning Jobs in Lincoln

/EU) | Outside IR35 | 6 months (likely extension) A leading UK platform is hiring 2 x Data Scientists to stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied … core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining & maintaining 13 production models Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work ...

with auditors, external assessors, and customer security teams. Nice-to-Have Prior experience building security functions in a fast-growing SaaS or AI/ML-driven company. Knowledge of AI-specific compliance and risk frameworks (NIST AI RMF, EU AI Act). Benefits Join a pioneering joint venture … intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field. ...

This isn't lecturing. You'll run interactive sessions, give deep feedback on real projects, challenge thinking, and help learners apply what they're learning directly in their roles. You'll guide them through building data governance frameworks, designing data products, making the business case for data initiatives … creating trusted, reliable data foundations Data governance — implementing frameworks that balance control with enablement Data architecture or DataOps — designing systems that scale AI/ML governance — managing risk while enabling innovation You've probably: Led or significantly contributed to data initiatives in complex organisations Built business cases for data investments ...

data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. UK Citizen with SC (minimum). Desirable OCI and OIC experience. Exposure to ML/AI concepts and ability to support ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras … with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with ...

panic. Someone who loves questions more than answers... at least at first. You'll be: Leading 0→1 development across AI-first products Turning ML capabilities (Python, TensorFlow, PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across … validating concepts at speed You'll thrive if you: Have shipped 0→1 products, not just maintained existing ones Understand how AI/ML actually works in product (beyond buzzwords) Are comfortable in high ambiguity and low ego teams Can move fast without breaking the trust of regulated environments Bring ...

functions. Oversee the full SDLC, adopting Agile, DevOps, CI/CD and modern engineering standards. Embed an AI-first approach across product development — automation, ML, data-driven decisioning, and platform innovation. Shape the product organisation's structure, governance and culture, promoting experimentation and continuous delivery. Lead vendor partnerships and emerging … platforms or B2B technology solutions. Proven background in building and scaling product, digital, engineering or AI/automation teams. Strong fluency in AI/ML fundamentals and how to embed them into digital products. Visionary, commercially aware, and able to balance innovation with operational practicality. The company has a remote ...

execution end-to-end — not just manage tickets. You'll work closely with: Fullstack Engineers (including a Tech Lead) DevOps Data Ops & ML Engineering CEO, CPO, and CTO (strategic input and alignment) You become the central execution engine, ensuring the product moves forward quickly, clearly, and with purpose. What Success … launch is a strong plus Domain & Technical Understanding Solid understanding of marketing analytics or campaign workflows Comfortable specifying requirements involving data and AI/ML concepts Confident interpreting product metrics and KPIs Ways of Working High emotional intelligence and strong communication skills Pragmatic, outcome-focused, and delivery-oriented Comfortable operating ...