Machine Learning Engineer

Role: Chief Revenue Officer Reports to: CEO Location: Remote working (UK based) Salary: £130 - £150k per annum, depending on experience. Plus equity, benefits and performance related bonus Hours: Full-Time, permanent About This Role This is Vestd's first Chief Revenue..., Role: Chief Revenue Officer Reports to: CEO Location: Remote working (UK based) We are currently a remote-first organisation, but hybrid working may be an option we move to in the future. Salary: £130 - £150k per annum, depending on experience. Plus equity, benefits and...

• Demonstrate strong proficiency for writing, testing, and debugging Python code, capable of solving programming problems such as basic algorithms and data structure manipulations
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Have strong communication skills and the ability to explain technical concepts to non-technical stakeholders
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases.
• Deeply understand the AI strategy, goals, and needs of the customers
• Build deep relationships with technical stakeholders at all levels and across all roles, both internally and externally
• Be able and willing to multi-task and learn new technologies quickly, * Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• 3+ years of engineering experience, post-graduation in a client-facing setting
• At least 2 years of model training experience, specifically in translating business problems into data/model problems.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Experience operating in a fast-paced environment with ambiguity
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) and create functions to break down problems into modular components focused on robustness, readability and maintainability

Nice to haves:

• Strong knowledge of software engineering best practices
• Have experience with AI platforms and technologies, including generative models and LLMs
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses, Job Description Full Stack Software Engineer - TypeScript / React / Postgres / AWS / Terraform / DevOps We are looking for a number of highly motivated Full Stack Software Engineers to join a fast-growing industrial tech startup focused on reinventing manufacturing. You...

Job Description Team: Frontend Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90-120k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their...

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. At Scale, our Enterprise team works with a variety of customers looking to be at the forefront of incorporating Generative AI capabilities into their services. Forward Deployed ML Engineers (FDMLEs) work directly with our customers to build and own robust, production-grade services which directly integrate into their products. This exciting role lies at the intersection of customer delivery and ML engineering, providing you with a wealth of experience and stimulating both sides of your brain. In this role, your daily tasks may include engaging in discussions with customers and understanding their generative AI needs and using platform tools and packages to finetune and iterate on modeling experiments using Large Language Models (LLM) or Retrieval Augmented Generation (RAG). Your experiments should be focused around data and metrics that drive continuous improvement. This includes designing data-driven experiments focused on optimizing model performance by deeply understanding the training data and model outputs to systematically move key metrics. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!, At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications., About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimised, open-source and..., About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate..., TryHackMe is the fastest-growing online cyber security training platform. Our mission is to make learning and teaching cyber security easier by providing gamified security exercises and challenges. Having only been around for handful of years, we've grown to more than 6+..., Job Description At ScaleneWorks People Solutions, we're more than recruiters; we're career architects dedicated to connecting exceptional talent with top-tier opportunities. Backed by industry experts, we prioritize relationships, offer global opportunities, and champion..., Polaron is a spin-out from Imperial College London, founded by Dr Isaac Squires, Dr Steve Kench, and Dr Sam Cooper. The founders share a mission: to harness engineering, artificial intelligence, and materials science to design the materials of the future. Our vision is to..., Job Description Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy...