51 to 75 of 518 Machine Learning Jobs in London

key part of your role. What are the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. more »

about the job: Within this role you will help the investment management team drive process innovation through identifying opportunities to incorporate data analytics and machine learning into our processes. Your focus will be on Credit where you will use your skillset to challenge and develop our investment processes. … engineering role. Ability to bring clarity to complex ideas through an understanding and application of data science techniques. Experience with Python and SQL for machine learning and analytics. What you’ll get for this role: Generous pension scheme - Aviva will contribute up to 14%, depending on what you more »

artificial intelligence principles and techniques Proficiency in programming languages commonly used in AI research, such as Python or TensorFlow Experience in developing and deploying machine learning models Familiarity with deep learning frameworks and methodologies Strong analytical and problem-solving skills Ability to thrive in a fast-paced more »

hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If more »

Governance methodologies and solutions Understanding of Group & Retail Protection and/or Individual Protection business specifically would be an advantage Data Science models and Machine Learning Experience of evaluating emerging technologies and tracking the technology innovations applicable to the solutions. Proven experience of working effectively with senior business more »

in a leading role as part of a wider team. Power BI development experience using Azure technology and providing data. Experience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines. Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Development experience more »

insights to help them harness the full potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: An education in Computer Science, Engineering, Mathematics, or a related discipline Demonstrated success in designing … and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory more »

We are looking for a Data Scientist to join our Y Combinator backed start-up. They are using AI and ML technology to build a SaaS product. You will be working closely with the CEO, CTO and the wider engineering teams to help develop and improve statistical models. Responsibiliti esImplement … monitor and deploy statistical/ML mode lsShape the future tech-stack to enhance ML/AI capabiliti esImprove Data Science processes with new data tools or technologi es Requireme ntsAdvanced knowledge of Python and experience with common libraries such as SQLExperience with time series problems, predictive algorithms and ML more »

enhance our forward-thinking team. The ideal candidate will be instrumental in developing sophisticated vector space models and deploying comprehensive NLP solutions utilising deep learning frameworks such as PyTorch and PyGeometric. This role requires collaboration with Product Owners and Digital Engineering teams to ensure seamless integration of cutting-edge … quality and engineering standards. Assess the performance of NLP models and systems post-implementation, employing advanced machine learning metrics. Utilise frameworks like ML Flow for tracking experiments, managing machine learning pipelines, and orchestrating model deployment. Document the development process, architecture, and operational guidelines comprehensively. Requirements A … development, evaluation, and production implementation of machine learning models. Proficiency with machine learning metrics and the use of frameworks like ML Flow to track model performance. Experience with cloud services and solutions. Agile methodology experience and the ability to function effectively in a team setting. Exceptional more »

engineering process, from data acquisition, tagging, embedding, protection and storage. Your Role: Prepare and preprocess data to ensure it is ready for use by machine learning models and AI solutions. Work with a variety of data types including PDFs, Word documents, Excel files, HTML, audio, video, and text … in data engineering, machine learning, and AI technologies to continually enhance data capabilities. Qualifications Strong understanding and hands-on experience in various ML techniques and algorithms, including RAG, fine-tuning models and working with large language models. Mastery in Langchain and Python programming languages, essential for AI development … and ambitious team that welcomes all types of candidates. We are also flexible with different working patterns and prioritize promotions internally. Our benefits include: Learning and development plan to assist with your career development 25 days annual leave, 4 days for volunteering and a day off for your birthday more »

weighting o Validations o Model selection Additional skills Predictive modelling Attribution modelling Multivariate model development Geographical analytics Text mining and content analytics Conjoint analysis Machine learning processes Data manipulation language; such as Python, R or similar Experience using website analytics packages (i.e. GA) Familiar with digital tracking technologies more »

Data schemas and familiarity with schema methods (YAML, XML, etc.). Data visualisation tools such as Tableau, QlikView, Looker, and MS PowerBI. Data science, machine learning, and AI. Data compliance standards and regulations like PII, GDPR, CCPA, etc. Hands-on experience in handling PII datasets and operationalising DSAR. more »

signals of early onset of diseases and deterioration. As the successful candidate, you will get to develop predictive models from longitudinal datasets and perform machine learning experiments on clinical datasets. You will get to work with some of the most innovative tools in the market, including scikit-learn more »

Go). Strong analytical and statistical skills for maintaining clean data. The ability to perform regressions and possess some knowledge of statistics or basic machine learning would be a plus. A willingness to learn and integrate with our existing software stack (primarily Go). Prior Go experience is more »

and knowledge of technological trends to help build strategy. You will be an effective communicator who will understand concepts such as RPA, AI and machine learning as well as cognitive computing and possess a strong critical mindset, with strong business acumen. Most importantly you will be forward-thinking more »

the Head of Trading to research alpha, and portfolio construction, in various arbitrage strategies in systematic Options. Assist in designing and developing alpha and machine learning strategies. Excellent PnL split, working within top performing team. Skills Required: Experience as a quant trader working on strategies in a systematic more »

Graduate Python Software Engineer - Health Tech Start Up Join an Elite ML/Python Software Engineering Team A rapidly growing health tech start up is on a mission to redefine the health and fitness tech industry, and we're looking for an exceptional Graduate Python Software Engineer to join the … for a First in a relevant Degree from a Top Russell Group University Proficiency in Python, with a strong understanding of Data Science and Machine Learning Analytical background and data driven approach Strong internship experience or very active GitHub Nice-to-Have Graduate Python Software Engineer Skills: Experience more »

The Role: The successful candidate will work on all aspects of our client's data architecture, collection, pipelining, governance, and security. This extends to machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity. The Tech: Python: Strong proficiency, including experience with libraries like more »

converting unstructured datasets through the application of Natural Language Processing (NLP) and Generative AI techniques. Finally, you’ll love solving problems, be experienced in Machine Learning techniques, and you’ll be plugged in to emerging technologies. We are committed to helping our clients build diverse teams and we more »

llamaindex, bedrock, sagemaker, huggingface, mlflow, gradio, Flask, FastAPI, SQLAlchemy, psycopg2, boto3, gunicorn, pytest, and scrapy Experience with cloud services like Microsoft Azure (Data Factory, ML Studio, Synapse Analytics, etc.) Interest in researching, testing, and implementing state-of-the-art technologies to address challenges We are committed to helping our clients more »

as retail, leisure and hospitality, real estate and smart cities. Our team of industry experts, data and insights consultants, data scientists, data engineers and machine learning engineers use advanced analytics to uncover the rich profile of customers’ current and future behaviours to inform how clients can better serve … and communicate with their customers. Responsibilities We are seeking candidates with strong data science or machine learning engineering experience to deliver projects in the customer and front office domain. Duties and responsibilities (dependent on the mix of data science and engineering): Propose data science problem solving approaches Co … your models, to document and present them to business users, and to retain ownership of them in production Contribute to various aspects of the machine learning lifecycle for our market-facing products, i.e. model deployment, monitoring and validation, and champion best practices for model testing Help optimise the more »

analytics and data science solutions to help the business understand our customers better and inform business decisions. They will enjoy collaborating with AI/ML colleagues to design innovative data science solutions and generate best-in-class and high-impact and actionable customer insights & recommendations for real-world problems. They more »

fees of £400,000 (Imagine earning £32,000-£160,000 on a single placement!) Specialist Technology Trading, Quantitative Research, Portfolio Management/Trading (AI & Machine Learning, Software Engineering & Data) firm, that recruit across Europe & the US Delivery focussed role - no BD required Central London based Working on an more »

from chip to model, optimized for enterprise and government use. Responsibilities include: and maintaining technical relationships with potential clients an expert in AI/ML products and staying updated on industry trends. business cases and requirements into technical solutions. technical discovery, qualification, and impact quantification. and delivering compelling demos and … experience. 5 years of customer-facing experience, preferably in AI/ML. to travel up to 50% nationally and internationally. experience with AI/ML model development, evaluation, and optimization. in Python and PyTorch. Linux system administration skills. with MLOps platforms, API-driven integration, and solution design. proactive attitude and more »

Machine Learning/AI Developer – London | Hybrid - £70,000 - £90,000 I’m working with an AI-first agency based in London working with Machine Learning and Artificial Intelligence to help clients in the technological space innovate and create real-world impact. Having started in … companies within the Manufacturing and technological spaces, boasting some 60 key accounts within the UK and Benelux regions. Having recently onboarded a Director of Machine Learning, they’re now looking to build a team who will gain the benefit of his experience and knowledge. They’re currently hiring … for 3 Machine Learning/AI Developers from a mid – senior level to work alongside him and within their larger IT team of 14. Within the role, you’ll have a chance to really flex your skills, building innovative solutions, refining machine learning models within a more »