301 to 325 of 1,139 Permanent Machine Learning Jobs

software solutions. What Youll Do Design, develop, and maintain high-quality C# applications across our platform Work on AI-enabled solutions and integrate machine learning capabilities where relevant Ensure applications are secure by design and adhere to best practices in cybersecurity Collaborate with cross-functional teams including product … Looking For Essential: Strong experience with C#/.NET development Solid understanding of software security principles and secure coding practices Experience with AI/Machine Learning frameworks and integrating them into applications Good knowledge of databases, API design, and cloud technologies Excellent problem-solving and communication skills Desirable ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

high-execution culture and maintain exceptional standards at a critical stage. In particular, you will: Design, build, and maintain critical credit risk models and machine learning pipelines. Own performance monitoring that is delivered to the board. Use Open Banking transaction data to develop innovative credit risk solutions, fraud …/GCP Python - Preferred Docker Preferred or Kubernetes SQL/PostgreSQL Git Nginx Flask or Fast API CI/CD, API development & Management, NLP, Machine Learning Experience & skills: 5+ years of commercial experience as a Data Scientist with current tech stack. Relevant degree, e.g., Computer Science or Statistics. ...

Engineer (ML, Engineer, LLM's, MCP) Location: Fully Remote, UK Salary - Highly competitive plus 15% annual bonus based on personal performance Reporting to: Chief Executive Officer Neulinx have partnered with an established global SaaS compan y to appoint an AI Engineer for a business-critical role reporting directly … more AI-driven architecture Partner closely with software engineers to help develop AI capability across the team Identify and deliver practical AI and ML use cases that create measurable business value Work directly with the CEO and senior leadership team on the company’s AI direction and implementation priorities Candidate ...

measures. Design, prototype, validate, and deliver end‐to‐end data science and AI solutions, from discovery through to production. Develop and evaluate statistical models, machine learning systems, and Generative AI solutions, including LLM‐based and RAG‐enabled approaches. Support the operationalization of models and AI solutions, including deployment … accelerators, best practices, and Insight capability development. Skills we can’t do without for the senior role: Client stakeholder engagement Applied data science expertise Machine learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

chance to join a growing data and AI business that blends proprietary software with hands‐on analytical consultancy. You will work on cutting‐edge machine learning products used by financial services clients, quant teams, and large enterprise customers. The Company They are an established data and software organisation … learning. • Solid grounding in maths, statistics, or a related quantitative discipline. • Background working with financial services data or trading‐focused models. • Experience building ML models end‐to‐end, including optimisation and error analysis. • Knowledge of LLMs, finetuning, conversational AI, or modern NLP techniques. • Comfortable working in a collaborative environment ...

build predictive models that explain real-world patient behaviour at population scale? Have you worked with Python and Databricks to develop and optimise production ML systems? Are you ready to join a fast-moving AI team where you can shape a core data product? About the company We’re partnering … This is a hands-on role with real ownership, working closely with engineers, behavioural scientists, and product teams. Key responsibilities Build and optimise predictive ML models using Python and Databricks Lead development of scalable modelling pipelines and data workflows Integrate new data sources (including behavioural and geospatial data ) Validate models ...

competitive insurance market. Key Responsibilities Maintain and improve the pricing process to meet business requirements. Develop and maintain risk models, leveraging both traditional and machine learning techniques. Support delivery of the pricing & underwriting business plan across Motor. Work with the Data Science and Machine Learning teams … mentor team members, driving a culture of development and excellence across the team. Collaborate with peers in Pricing, Underwriting and Data Science and Machine Learning. Key Skills and Experience Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor ...

recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will work closely with architects to prototype and optimize the next generation of global AI clusters. What you will be doing … Science, Electrical Engineering, or related field/PhD in systems, distributed computing, or large-scale AI infrastructure Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience with LLM Inference and LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT ...

scientists and other engineers to develop sensing and imaging terahertz solutions. As a Python Developer you'll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You'll be using a Python based tech stack but with constantly … have experience with embedded software and/or IoT You are comfortable in an R&D environment You have an interest and understanding of Machine Learning and AI You are degree educated in a relevant STEM discipline You're collaborative, comfortable with Pair Programming and mentoring more junior ...

Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field. Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture. Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI). Proficiency in C/C++ … tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this Systems Research ...

design and run reliable, scalable data systems. Key responsibilities include: Designing and owning batch and streaming data ingestion pipelines on AWS Building and maintaining ML ready datasets to support model training, inference, and experimentation Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data Integrating … implementation and understand how data supports business and product outcomes Comfortable collaborating across Data, Engineering, and Product in a fast moving environment Exposure to ML or analytics use cases, including preparing data for modelling or experimentation, is highly beneficial What They Offer Clear scope for progression as the data platform ...

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...

inference experiments, including randomized controlled trials, natural experiments, and quasi-experimental methods Develop and apply conformal prediction frameworks to provide reliable uncertainty estimates for machine learning models Identify and control for confounding variables in observational studies Create robust statistical methodologies for causal effect estimation Collaborate with cross-functional … Proficiency in Python or R , and relevant statistical packages Experience with causal inference frameworks (e.g., potential outcomes, causal graphs, do-calculus) Knowledge of modern machine learning techniques and their intersection with causal reasoning Excellent communication skills, with the ability to explain complex statistical concepts to non-technical audiences ...

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over ...

cross‐functionally, shaping the roadmap and defining how intelligent experiences come to life. Key responsibilities include: • Leading discovery and strategy for AI and ML opportunities across the customer journey. • Defining how personalisation, intelligent decisioning, and automation elevate user experiences. • Owning the full product lifecycle from ideation through to delivery … senior stakeholders on long‐term AI strategy. Your Skills and Experience You will bring: • Strong commercial experience in product management, including shipping AI or ML‐powered features. • Hands‐on experience with personalisation, recommendations, predictive guidance, or intelligent automation. • Ability to think system‐wide across customer journeys and design cohesive user ...

This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal … tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science ...

Senior Data Scientist, Alternative Pricing Leicester You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected. The Company They are a well-established UK general insurance provider with a strong … with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering. Deploy models into production using Python, SQL, Azure ML and an internal deployment platform. Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy. Mentor junior team members ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

shape the future of AI-powered solutions. As Computer Science Graduate you will be responsible for Design, develop, and implement cutting-edge AI and machine learning models. Collaborate with cross-functional teams to solve real-world problems using AI. Explore natural language processing, computer vision, and predictive analytics … Looking For Recent Computer Science (or closely related) graduates. Strong programming skills in Python, Java, or C++. Solid understanding of algorithms, data structures, and machine learning concepts. Passion for AI innovation and problem-solving. Excellent communication and teamwork skills. The Opportunity Work on high-impact AI projects across ...

join a global threat intelligence team. The position will report to the Head of Cyber Threat Intelligence and will involve applying advanced statistical analysis, machine learning, and data engineering to identify, detect, and mitigate digital threats. The ideal candidate will be aware of industry trends and frameworks … offers this role on a hybrid working basis with a non-negotiable two days per week in their London office. Responsibilities: Develop and implement machine learning models (ie anomaly detection, classification) to identify patterns indicating malicious activity, malware, or insider threats Clean normalise, and manage massive datasets from ...