Flexible hybrid working We are partnered with a fast-growing business with expertise in crafting cutting-edge solutions at the intersection of data, AI, machinelearning, data engineering, and software development. On a mission to empower tech companies better understand and connect with their people, customers, and citizens. more »
and providing guidance and best practise where necessary. Review data produced, analyse and provide actionable insights and opinion on data. Apply advanced statistical and machinelearning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. THE PERSON Strong communication skills; able to more »
and providing guidance and best practise where necessary. Review data produced, analyse and provide actionable insights and opinion on data. Apply advanced statistical and machinelearning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. THE PERSON Strong communication skills; able to more »
SENIOR DATA SCIENTIST £80,000 + Bonus HYBRID - London Join a dynamic team of Data Scientists working on high-impact, commercially driven machinelearning models to improve customer experience for clients! ROLE: Working closely within a team, to design and build models across recommender systems, personalisation, next best more »
SENIOR DATA SCIENTIST £110,000 HYBRID - London Join a dynamic team of Data Scientists working on high-impact, commercially driven machinelearning models providing insights and reports for their clients. This is a very well-funded startup, scaling with £50m to grow to 25+ heads from 15. ROLE more »
quantitative or data science role Possesses significant experience and a passion for statistical modelling of MLB or NBA Advanced knowledge of statistical modelling and machinelearning, with relevant experience in the use of relevant Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents) Experience generating more »
transformations quicker, and improve key business applications at dramatically reduced costs. Today, we are pushing the boundaries of traditional network management through AI and machinelearning to deliver more value, actionable insights, and capabilities to enterprise network management with Coevolve Smart Services. With our Smart Services portfolio, we … great things together for our clients. We solve core problems in the traditional carrier and systems integrator business models. Our company culture fosters lifelong learning, collaboration and inclusion. Our team is truly global with people in 5+ locations around the world. We love innovative ideas and the ability to … and via internal Microsoft Teams channels. Ongoing Process Improvement: Continuously contribute to the improvement of bidding, Change Management methodology, and other operational processes. Continued Learning and Innovation: Stay up to date with the latest market technologies, products, and services. Assist in Coevolve’s Product Development activities by leading technical more »
is with an ambitious AI start-up in London, pioneering the future of synthetic data—a critical driver for AI innovation and privacy-first machine learning. We’re looking for a Founding Software Engineer to help us build from the ground up. If you’re passionate about cutting-edge more »
you: · Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. · At Collabera Digital you have high chances of project extension or redeployment to other clients. · Will have more »
on a permanent basis. You will be joining an established development team and working on their flagship product which is a data platform involving ML techniques. In this role, you will be responsible for designing, developing, and optimizing data pipelines, processing large-scale datasets, and ensuring efficient integration of data more »
Greater London, England, United Kingdom Hybrid / WFH Options
TEC Partners - Technical Recruitment Specialists
If you have experience in any of these areas, we encourage you to apply: Fullstack, Back End, Python, AWS, React, JavaScript, Golang, Generative AI, MachineLearning, startups, supply chain, logistics, delivery networks. more »
and willingness to learn and develop your skill set. Great customer and stakeholder management. Keen on latest trends in technology such as AI and Machine Learning. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life more »
the latest NLP and conversational AI advancements You'll need... Strong Python skills with expertise in TensorFlow, PyTorch, and Transformers 5+ years experience in machinelearning engineering Proven track record with RAG models and vector databases Passion for solving complex problems with pragmatic AI solutions Interested? Apply now more »
code that adheres to best-in-class engineering practices. Curiosity, ambition, kindness, and firm opinions loosely held. Nice to have 🦄 Experience with AI/ML models and integrating them into scalable production systems or creative projects. You have implemented full-text or semantic search interfaces and systems. Bonus points if more »
AV solutions Qualifications and Skills Mandatory: Must understand Trend Deep Security and CrowdStrike Antivirus and supporting modules (i.e…Antivirus or Antimalware, IPS, endpoint protection, machinelearning, etc.) 5 years or more of IT experience. Solid understanding of Active Directory groups Solid understanding of Windows OS Solid understanding of more »
that align with business goals and identify opportunities for AI integration. Research and recommend technologies for the rapid prototyping and development of AI/ML features, including semantic search and large language models (LLMs). Partner with data engineers to assess existing databases and pipelines for AI/ML suitability. … Evaluate AI/ML outputs to demonstrate value addition and ensure quality standards are met. Ensure compliance of all AI/ML solutions with legal and privacy regulations. Qualifications: 5+ years of experience in AI/ML. Proven track record of managing AI projects from inception to completion. Familiarity with … Augmented Generation (RAG). Experience building proofs of concept (POCs) around AI and LLM technologies. Proficiency in Python, R, or Java , with experience in ML frameworks . Experience with Microsoft Azure and its AI services. Exceptional communication and organizational skills , with the ability to handle multiple projects simultaneously. Advanced degree more »
contact for data technologies including Python, Spark, and SQL. Be a key knowledge source for databricks development in Spark, Python and SQL. Encourage continuous learning by keeping up to date with relevant courses and certifications. As a highly skilled communicator, you will be presenting recommendations and findings to key … large and complex data sets Familiarity with data warehousing concepts. Desirable Experience in using Databricks. Experience using Apache Spark/pySpark. Experience in developing ML models and understanding the key concepts Passion for video games. more »
parsing and OCR (optical character recognition) challenges. Build data pipelines and handle large-scale, enterprise-level systems. Engage in research on new AI/ML tools, and present your findings to the team. What You Bring: 5+ years of Python programming experience (Django preferred). A keen interest and some … commercial experience in AI/ML and emerging GenAI technologies. Experience with DevOps tools like Docker and Kubernetes (preferred but not essential). Experience working with systems at scale, handling large datasets across regions. Strong communication skills, able to articulate complex issues to both technical and non-technical stakeholders. The more »
safeguarded while closing the gaps in critical global labour needs. In this role you will oversee the end-to-end lifecycle of AI/ML models, from development to deployment, Ensure the reliability, scalability, and security of AI/ML infrastructure, Implement best practices for version control, testing, and continuous … integration/continuous deployment (CI/CD) for AI/ML models and more!! Here are the ideal technical requirements: Proven experience as an AI/ML Ops Engineer or in a similar role, with a strong understanding of AI/ML lifecycle management. Proficiency in programming languages such as … Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch). Experience with cloud platforms – ideally AWS Experience with Docker & Kubernetes. Strong knowledge of CI/CD pipelines, automation tools, and version control systems (e.g., Git). Knowledge of security best practices for AI/ML models and data. more »
Python Engineer - Python, Django, AI/ML Multiple Python Engineers are required for a top client of OB's in the consulting space who've got a large scale project with a Tier 1 Investment Bank. Hiring across Senior, Lead & Principal Engineers and they are looking for candidates who come … with prior exposure to GenAI/ML technologies. Python Engineer - Python, Django, AI/ML Skills & Experience Required: Python Django (not essential) Experience with AI/ML or LLM's Docker & Kubernetes Experience working with large data sets Pay's £100k-£120k, 3-days a week required in Canary Wharf. … To be considered you must be UK based as sadly there's no sponsorship available. Python Engineer - Python, Django, AI/MLmore »
on implementation. Alongside cost optimisation, you will enable deployment at scale and sure up integrations across the suite of products. Why Join? AI/ML driven business Innovation is core to business success LLM/NLP & Generative AI space, hot topic Significant role with autonomy Work alongside some of the … product people to enable integration and scaling deployment of models Build monitoring systems to keep models on track Requirements: Proficiency and professional experience of ML & NLP Have built/deployed ML, NLP or GenAI solutions Have designed and built CI/CD pipelines at scale Expertise in cloud technologies (AWS more »
Python Engineer - Python, Django, AI/ML Multiple Python Engineers are required for a top client of OB's in the consulting space who've got a large scale project with a Tier 1 Investment Bank. Hiring across Senior, Lead & Principal Engineers and they are looking for candidates who come … with prior exposure to GenAI/ML technologies. Python Engineer - Python, Django, AI/ML Skills & Experience Required: Python Django (not essential) Experience with AI/ML or LLM's Docker & Kubernetes Experience working with large data sets Pay's £100k-£140k, 3-days a week required in Canary Wharf. … To be considered you must be UK based as sadly there's no sponsorship available. Python Engineer - Python, Django, AI/MLmore »
I'm helping an industry leading organisation find a dedicated Artificial Intelligence focused Security Architect. This is an exciting opportunity to own AI and ML from a security architecture perspective!! You will: Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organisational assets and … ensure the secure operation of AI and ML systems. Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. This is a hybrid role with multiple UK locations Salary up to more »
rewarding career. We work with a broad range of clients including the majority of the Tier One Investment Banks, SME tech companies in the machinelearning/AI spaces, ESG investors and traditional asset managers so successful candidates will acquire a very broad knowledge base across all aspects more »
.NET Core). Hands-on experience with event-driven architectures, microservices, and containerisation technologies like Docker and Kubernetes. Knowledge of SQL/NoSQL databases, ML solutions, and Gen AI R&D experience is highly desirable. Familiarity with frontend technologies like Angular, React, or Vue.js, and DevOps tools/practices. What more »