17 of 17 Machine Learning Jobs in Midlothian

Summary: We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems … machine learning, or a related field. Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR). Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization. More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

thinking, analytical, and problem-solving skills. Strong leadership and communication abilities, with experience working in cross-functional teams. Familiarity with agile development methodologies and tools. Experience with AI/ML applications in cardiology or diagnostics. Knowledge of cybersecurity and data privacy regulations in healthcare (e.g., HIPAA, GDPR). Experience working with international teams and global product launches. Attributes:Creative thinker More ❯

Proficient in operating within an ITIL environment. Skilled in applying continuous engineering and agile methodologies to manage frequent changes and reduce complexity. Adept at leveraging automation and AI/ML to drive continuous improvement. Technical skills The candidate is expected to have a proven track record in the use of Microsoft M365. Recent experience and certifications of some/all More ❯

Proficient in operating within an ITIL environment. Skilled in applying continuous engineering and agile methodologies to manage frequent changes and reduce complexity. Adept at leveraging automation and AI/ML to drive continuous improvement. Technical Skills: The candidate is expected to have a proven track record in the use of Azure Virtual Desktop. Recent experience and certifications of some/ More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

years of professional software engineering experience. Full stack development expertise (React, TypeScript, Python). Experience with FastAPI or similar back-end frameworks. Familiarity with agent frameworks and AI/ML integration. Experience working with APIs (REST/DAST). Strong understanding of Agile/Scrum delivery. Next Steps: This client will only accept workers operating via an Umbrella or PAYE More ❯

many of the following as possible: SQL Azure (Key Vault/Data Factory/Data Lakes) Power Apps CRMs (ideally D365) Ideally existing/eagerness to gain knowledge across Machine Learning/NLP Solid analytical mindset as well as communication skills to be able to work with people at all levels Ability to work as part of a More ❯

Proficient in operating within an ITIL environment. Skilled in applying continuous engineering and agile methodologies to manage frequent changes and reduce complexity. Adept at leveraging automation and AI/ML to drive continuous improvement. Technical Skills: The candidate is expected to have a proven track record in the use of EUC and Windows Desktop technologies. Recent experience and certifications of More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

services or consulting (banking/insurance focus). Knowledge of data governance frameworks (DAMA, DCAM) and regulatory requirements. Strong communication, problem-solving, and collaboration skills. Exposure to AI/ML, cloud data environments, or modern data architectures is a plus. This is a fantastic opportunity to grow your career in data and resilience, working on impactful projects across the financial More ❯

in banking or insurance . Strong knowledge of data governance frameworks (DAMA, DCAM) and sector regulations. Proven leadership in data transformation and business change programmes. Experience with AI/ML adoption and modern data architectures (cloud desirable). This is an exciting opportunity to make a real impact in shaping the future of data in financial services . More ❯

objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam. Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals. Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels. Requirements 6+yearsindatascience/ML,withatleast2yearsinatechnicalleadrole. Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction ProventrackrecordwithLLMfine-tuning,promptengineeringandproductionisation DeepexperienceinMLOpsonAzure,includingCI/CD,monitoringandscalingpipelines. StrongcodingskillsinPython,withframeworkssuchasPyTorch,FastAPIandAzureCLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment More ❯

deeds. You'll work with modern AWS technologies to deliver scalable, serverless solutions based on R&D outcomes. Key Responsibilities: Develop automation services using OCR, NLP (e.g. Spacy), and ML Build AWS serverless components (Lambda, API Gateway, S3, Aurora/Postgres) Use Python and TypeScript to deliver high-quality code Conduct research spikes to expand service capabilities Analyse data to … Contribute to disaster recovery assurance and performance monitoring Collaborate using Agile (Scrum/Kanban), XP practices (pairing, mobbing, TDD) Essential Skills & Experience: Strong experience with OCR, NLP (Spacy), and ML techniques Proficient in AWS services: CDK, Lambda, S3, API Gateway, CloudFormation, Aurora/Postgres Advanced Python and TypeScript development skills Experience designing serverless/service-based architectures Skilled in infrastructure More ❯