18 Machine Learning Jobs in Edinburgh

this role About this role The AI Labs team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project/… Labs has offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with world-class expertibahnse in machine learning, statistics, optimization and stochastic control. These advisors include Emanuel Candes, Trevor Hastie, Robert Tibshirani, and Mykel Kochenderfer who dedicate time in our … of the distributed team. In this role, you can expect to: Design and deliver secure and scalable solutions to enable the rapid delivery of machine learning products to production environments Continuously improve existing products, tools, and services, by maintaining close relationships with data scientists, researchers, and other BlackRock more »

and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

forms and see the value in transforming data into insights. You will also need to be: enthusiastic and motivated, with a desire for constant learning a great communicator and natural collaborator intrigued by the potential of digital health solutions willing to offer an opinion or critique in a constructive … Azure SQL (inc. Synapse) work with members of the Data Science team, supporting and building data processing pipelines that provide customised, anonymised data to machine learning models for both scheduled and real time predictions process data from machine learning models to support decision making across health more »

them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and Machine Learning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »

/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use … processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt engineering Lang Chain/Semantic Kernel Frameworks Experience exploring, analysing, and visualising data Excellent communication, collaboration, and problem-solving skills Additional Information Location more »

management system and process design and implementation. Data quality system and process design and implementation. Major focus on data science, data visualization, artificial intelligenceand machine learning Documentation of solution (e.g. data modelling, configuration, and setup etc.) including HLD and LLD. Qualifications Hands on experience with data solution architecture more »

profiles going, can demonstrate extraordinary staff retention and longevity, andare responsible for one of Europes most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into disease … get to join a small, focused delivery team working on key feature development, devops, and testing, exploring new areas of cloud computing, AI/ML, and platform engineering. You'll be key in determining architectural and design decisions, supporting junior team members, writing fantastic code, ensuring it's all fully more »

in Python and C++ programming Experience with web technologies (e.g. JavaScript, HTML/CSS, RestAPI's) Experience with data-intensive applications using AI/ML more »

you will be encouraged to take Associate, Professional and Speciality certifications and additional training that is relevant to your role. We have a successful learning and development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As a … applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk Capital more »

in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are looking more »

enthusiastic about supporting the growth of technical consulting within Storm ID able to work to tight deadlines, in a commercial consulting environment open to learning from others, and offering your support when needed enthusiastic about staying up-to-date with the latest technology and methodologies Ideally, you will also … professional services environment experience of working within enterprise projects with a strong data focus which could include data engineering, data platform design, data analytics, machine learning or AI. One more thing – research indicates that marginalised groups of people may not apply for jobs unless they meet 100% of more »

distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are looking more »

are mainly UK based, with a few scattered across Europe. The team includes (but is not limited to): Helpdesk, Infrastructure, Software Development, ERP and Machine Learning. It is an incredibly diverse and varied team and there is certainly no need for you to have specialisms in all of these … areas. The business utilize a combination of legacy systems as well as Machine Learning technologies. This is due to the R&D team and developing cutting edge ideas. The company are additionally currently developing a new ERP system and building in-house - one of the big projects you more »

excellence. We are looking for a dynamic and adaptable individual, able to use and learn new skills in varying circumstances. You'll be continuously learning about technology and understanding how things work and influence positively - demonstrating the right values and behaviours and encouraging this in team members. Essential skills … Strong understanding of data technologies - SQL/NoSQL, Big Data Experience working with enterprise-wide cloud patterns - networks, security, ingress/egress Knowledge of ML/AI and data capabilities in GCP Strong experience & knowledge of some key LBG development technologies (e.g. JavaScript, Java Spring Boot, Python) Knowledge of the … SDLC & SRE It would be great if you also had… Experience in the Banking & Finance industry Cloud Certifications, particularly GCP Preferable experience with ML/AI & Data Tooling in GCP Experience in agile/iterative design working practices About working for us: Our focus is to ensure we're inclusive more »

excellence. We are looking for a dynamic and adaptable individual, able to use and learn new skills in varying circumstances. You'll be continuously learning about technology and understanding how things work and influence positively - demonstrating the right values and behaviours and encouraging this in team members. Essential skills … Strong understanding of data technologies - SQL/NoSQL, Big Data Experience working with enterprise-wide cloud patterns - networks, security, ingress/egress Knowledge of ML/AI and data capabilities in GCP Strong experience & knowledge of some key LBG development technologies (e.g. JavaScript, Java Spring Boot, Python) Knowledge of the … SDLC & SRE It would be great if you also had Experience in the Banking & Finance industry Cloud Certifications, particularly GCP Preferable experience with ML/AI & Data Tooling in GCP Experience in agile/iterative design working practices About working for us : Our focus is to ensure we're inclusive more »

OUTSIDE IR35 - MOSTLY REMOTE - 6 MONTHS CONTRACT Our public sector client is looking for an Automation Developer to join their team on a 6-month contract basis. You will have knowledge and experience in the following areas: OCR and lexical more »