201 to 225 of 1,146 Permanent Machine Learning Jobs

medium sized businesses. Operating in a highly data driven environment, they have built a profitable, automated lending platform supported by sophisticated statistical and machine learning models. The business is well capitalised, commercially mature, and continuing to invest heavily in data science as a core differentiator. The Role … with senior stakeholders across product, engineering, operations and commercial teams to ensure insights are embedded in decision making. Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy. Helping the business prioritise where data science delivers ...

Senior AI (ML) Engineer Remote, UK The Company They are a well-funded technology company providing advanced analytics and dashboards to users across the digital asset and crypto ecosystem. Their subscription platform delivers real-time market insight and on-chain intelligence to traders, investors and data-driven organisations. With data … work closely with engineering to design, build and productionise new AI features across the platform. Key responsibilities include: Designing, training and deploying AI and ML models on complex, large-scale data. Building GenAI solutions using techniques such as RAG and frameworks like LangChain and related tooling. Working full-stack across ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying … using emerging technologies on client deliveries and through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ ...

/ML Manager Consulting – GenAI, ML & Production AI Systems ON Data Staffing is working with a specialist data consultancy to hire an AI/ML Manager . This is a senior, hands-on consulting role, leading client engagements and delivering production-grade machine learning and AI solutions. … Role You will work directly with client stakeholders to translate complex business problems into scalable ML and AI solutions, owning projects end-to-end while leading small to mid-sized delivery teams. Key Responsibilities Lead machine learning and AI initiatives from problem definition to production Architect and deploy ...

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Experience Level: 3+ years Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which … cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent ...

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan … shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands ...

deliver real products used by investment teams and portfolio companies. This role is ideal for: PhD graduates in a STEM field with applied ML, optimization, or computational experience; or Bachelor’s/Master’s graduates with 1–2 years of industry experience or relevant internships in machine learning, data engineering, or software engineering. You’ll contribute to designing, implementing, and deploying production-grade ML systems—ranging from NLP pipelines to model‐driven workflow automation. You’ll learn quickly, gain real ownership, and see your work make tangible business impact. What You’ll Do Build and deliver ML ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

Machine Learning Engineer – Neural Network R&D London | Hybrid | £130,000 Most ML roles use models. This one builds them. You’ll be working on fundamental neural network development — taking architectures off the shelf and making them faster, more efficient, or entirely rethinking how they work. This … They’re looking for someone who: Has built or significantly improved neural network architectures Strong experience with PyTorch/TensorFlow Deep understanding of deep learning fundamentals (not just using libraries) Can demonstrate research or advanced development work London (hybrid) Eligible for SC/DV If you’ve gone beyond ...

frameworks, implementing best practices for data modelling, and supporting analytics and visualization teams. The ideal candidate should also have worked knowledge of AI/ML data pipelines and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics. Key Responsibilities Design and implement scalable data … checks, automated testing, and documentation using DBT. Collaborate with BI and analytics teams to deliver reliable datasets for dashboards and reporting. Support AI/ML initiatives by preparing and managing data pipelines for machine learning and predictive analytics use cases. Implement data governance, role-based access control ...

experienced MLOps Engineer with a strong background in DevOps, Data Science, or Machine Learning Engineering, who has hands-on experience productionising ML models. The focus of the role is building and enabling production-grade ML environments rather than model development itself. Candidates must have deep MLflow experience … real-time) with robust CI/CD Work closely with Data Scientists to transition models from experimentation to production Build scalable, secure, and reproducible ML platforms Establish best practices around: Model governance; Monitoring and retraining; Environment management Integrate with cloud and data platforms such as Databricks, and potentially AWS SageMaker ...

with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference … shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 2. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 3. Staff SE – MLOps/DevOps ...

White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds … integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively ...

Master’s degree in a STEM field (e.g., Computer Science, Software Engineering, Physics, Mathematics, Engineering, Data Science, etc.). Strong experience working with advanced machine learning techniques (e.g., deep learning, GenAI) and deep understanding of risk, governance and ethics. Experience working with data (Data visualization, Data preprocessing … transpilation, error mitigation, interpreting results). Knowledge of Quantum SDKs (Qiskit Preferred) and quantum algorithms (e.g. variational quantum algorithm, quantum approximate optimization algorithm, quantum machine learning algorithms). Familiarity with accessing and running quantum programs on different hardware platforms (e.g., superconducting, trapped ions, neutral atoms, annealers). Demonstrated ...

beyond proof-of-concept into scalable, production-ready systems. Key responsibilities include: Designing hypothesis-driven research frameworks and simulation environments Developing advanced statistical and machine learning models to solve multi-objective optimisation problems Contributing to model orchestration, synthetic data generation and probabilistic matching frameworks Evaluating model trade-offs … experience, with a focus on reproducibility Hands-on Python and SQL skills Experience working in big-data and cloud-native environments (Spark, Databricks, Azure ML or similar) Understanding of governance, model explainability and ethical AI considerations The ability to communicate complex ideas to technical and non-technical stakeholders Experience within ...

direction for how data, intelligence, and automation drive commercial performance. The ideal candidate will bring a blend of deep technical expertise across data science, machine learning, and modern data architecture, paired with strong commercial acumen and an ability to translate capability into meaningful outcomes. This role requires someone … ground up. As Director of Data & AI, you will have: Proven hands-on technical foundation in data science, machine learning, AI/ML, or adjacent fields, with the depth to make credible architectural decisions. Demonstrated experience leading and modernising a data function through significant change. Strong understanding ...

that traditionally relies on physical wet labs. This is an opportunity to work within a high-calibre, founder-led team developing tools that combine machine learning, data infrastructure, and modern web technologies to transform how biological research is conducted. You’ll play a key role in building scalable … APIs Experience building developer platforms or internal tooling Knowledge of SQL and/or NoSQL databases AI/Machine Learning Exposure to ML/AI workflows or data science tooling Experience with MLflow or model tracking systems Scientific/Data Applications Experience working with scientific or bioinformatics datasets ...

range of applied AI use cases, typically involving: Document intelligence systems Extracting, structuring, and reasoning over unstructured data (PDFs, emails, reports) using LLMs and ML Agentic AI workflows Systems that can take actions, make decisions, and continuously improve with human-in-the-loop feedback End-to-end pipelines From ingestion … improve speed, accuracy, and decision-making Everything is built for production environments with real users. Tech Environment Languages: Python, TypeScript, Node.js AI/ML: LLMs, applied machine learning, RAG architectures Data: Structured + unstructured data pipelines Infrastructure: AWS and modern cloud environments Responsibilities Design and build production-grade ...

Your new role As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables … growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance. Key responsibilities include: Developing and maintaining statistical and ML models to analyse machine and material performance data Building and refining data pipelines to post-process experimental and operational data Collecting experimental data ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years ...

data science, Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical … stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune, and maintain predictive and ML models using AWS SageMaker Analyse large datasets and perform feature engineering to improve model performance Run experiments, test hypotheses, and optimise models for accuracy and value Monitor model performance ...

interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solves-because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time … other words, SynergisticIT focuses on building candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years ...