376 to 400 of 1,499 Machine Learning Jobs

your true potential - they reflect your preparation. Employers want hands on experience, real projects, and interview ready candidates. SynergisticIT fills the gap between classroom learning and real world hiring expectations. If you're getting interviews but not offers, you're closer than you think-and that's the most … works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java/Full Stack/DevOps and Data (Analytics/Engineering/Science) + ...

adoption and upskilling staff where needed Establish clear metrics to measure the ROI of AI initiatives. Stay at the leading edge of AI and machine learning developments relevant to our sector, acting as an internal champion and thought leader Stakeholder Management & Communication Act as the primary interface between … scale Desirable Experience in proptech, SaaS or estate agency software sectors Familiarity with machine learning concepts and the application of AI/ML in software products Experience working with legal or compliance-adjacent products Ambition to grow into a Technical Director or CTO role Equal Opportunities Dezrez Services ...

Swindon. This is an exciting opportunity to work on data-driven initiatives that support critical services and decision-making. Key Responsibilities Develop and deploy machine learning and AI models to solve complex business problems Analyse large datasets to generate actionable insights Collaborate with stakeholders across technical … findings clearly to support strategic decisions Key Requirements Proven experience working as a Data Scientist within the public sector Strong expertise in AI and machine learning techniques Proficiency in Python/R and relevant data science libraries Experience with data manipulation, modelling, and visualisation Strong communication skills ...

exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required … effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. · Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). · Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution … solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to £110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working ...

SynergisticIT We Focus on Java/Full stack/Devops and Data Science/Data Engineers/Data analysts/BI Analysts/Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs … looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/Data Scientists, Machine Learning engineers for full time positions with clients. Top tech companies are flooded with smart grads. What gets you in the door now is real ...

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 ...

tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle … following essential skills Strong experience with Machine Learning and LLMs (such as GPT or BERT). Proficient in Python and standard ML libraries. Skilled at crafting and testing prompts to get the best out of AI models. Able to clean, process, and manage large datasets for training. Great ...

data scientists who operate with a consulting mindset. You will lead the delivery of end-to-end projects across the Machine Learning (ML) lifecycle, moving beyond standard analytics to implement Agentic AI solutions that automate complex reasoning and decision-making tasks. The mandate requires a deep understanding … advisory function is essential. You must be comfortable delivering work at pace in a matrixed environme nt.Scientific Foundati on: A strong background in the ML lifecycle, including expertise in NLP, time-series analysis, and predictive modelli ng.Technical Sta ck: Proficiency in Python, R, or PySpark is mandato ry.Cloud & Data Platfor ...

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 … PyTorch) Hands-on experience with distributed KV cache optimization Familiarity with GPU and how they execute LLMs Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Solid grounding in systems research methodology, distributed algorithms, and profiling tools. Proficiency in C/ ...

through to deployment and optimization. Design, develop and scale time series forecasting models to drive business decision-making Work cross-functionally with Data Engineers, ML Engineers and product teams to deliver production-ready solutions Translate complex data science concepts into clear, actionable insights for both technical and non-technical stakeholders … track record of solving complex problems Expertise in time series forecasting (e.g. demand forecasting, trend modelling, seasonality analysis) Solid foundation in statistical modelling and machine learning theory Proficiency in Python and experience working with large, complex datasets using SQL and Spark Ability to manage multiple priorities across ...

ideal for recent PhD graduates looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Responsibilities … systems research methodology, distributed algorithms, and profiling tools. Team-oriented mindset with effective technical communication skills. Desirable Experience: Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

principles and secure-by-design methodologies. Experience building automation and security workflows using Python, PowerShell, or similar tooling. Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support … improving security controls in complex environments. Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience. Familiarity with AI/ML concepts applied to security use cases is highly desirable. Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred. Relevant ...

principles and secure-by-design methodologies. Experience building automation and security workflows using Python, PowerShell, or similar tooling. Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics. Understanding of how AI can be applied to threat detection, anomaly detection, investigation support … improving security controls in complex environments. Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience. Familiarity with AI/ML concepts applied to security use cases is highly desirable. Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred. Relevant ...

delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions … leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment ...

deploy agentic workflows, RAG pipelines, and LLM powered applications for internal and customer facing products Work across structured and unstructured data, collaborating closely with Machine Learning and GenAI specialists Own cloud based deployment, CI/CD, and productionisation of models and services Partner with product managers, engineers … scope projects Communicate progress and outcomes clearly, building trust through delivery and technical leadership This role sits within a balanced team of traditional ML and GenAI specialists, with exposure to both classic modelling and modern AI use cases. Your Skills and Experience Strong Data Science fundamentals and experience delivering classical ...

product and data stakeholders to translate requirements into robust technical solutions Support the ongoing development of data architecture to enable advanced analytics and future machine learning use cases Act as a senior technical voice within the team, contributing to design decisions and platform direction About … ability to work independently in a fast-paced environment Desirable: Experience building or maintaining web scraping/external data ingestion pipelines Exposure to machine learning workflows or data science environments Previous experience working in a startup or scale-up setting ...

internal business transformation, with a strong emphasis on delivering systems that are deployed, used, and continuously improved. We're seeking a Senior or Lead Machine Learning Scientist to design, build, and deploy AI agents and LLM-powered systems in real-world production environments. The team is building next … shipping LLM-based solutions into production environments. Tech stack: Python | LLMs | Agentic AI | LangChain | LangGraph | MCP | RAG | Vector Databases | AWS | Azure | GCP | APIs | SQL | Machine Learning | Forecasting Senior AI Engineer (LLM/Agentic AI) | London (Hybrid) | £600–£700/day | Outside IR35 | 6 months ...

Discover the role As a Senior Manager of AI Safety and Validation Engineering, you will lead the creation of evaluation frameworks for both predictive Machine Learning and Generative AI. You will be responsible for defining standardised monitoring protocols and automated guardrails. Working as an individual contributor, you will … functions Work with specialist software vendors to bring advanced safety capabilities into the internal AI ecosystem Discover the requirements 7+ years of experience in Machine Learning Engineering, Data Science, or AI Safety and Testing Bachelor’s Degree in Computer Science, Information Technology, or a related engineering discipline Expert ...

teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related … Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature ...

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 ...

Senior Recruitment Consultant – Data, AI & Machine Learning (Contract/Interim) 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to dominate the fastest-moving market in tech? At Arrows Group, we know that in the world of AI and Machine Learning … Benelux/Dutch markets, helping our clients scale at pace. What you'll be doing: Lead a high-velocity Data/AI/ML contract desk, managing the full lifecycle from lead gen to deployment. Cultivate a deep network of immediately available freelance specialists (Data Scientists, ML Engineers, AI Researchers ...

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 ...

improving data literacy across the organisation. Overseeing the redesign and rationalisation of dashboards and reporting. Guiding the development and deployment of predictive models and machine learning solutions. Acting as a senior advisor to leadership teams, championing data driven decision making. Partnering with data product, engineering, governance and architecture … track record of delivering data transformation and improving data adoption. Experience rolling out self service analytics at scale. Exposure to deploying data science or machine learning models into production. The ability to influence senior stakeholders and communicate complex ideas clearly. Technical credibility across analytics, data science ...