NLP PEOPLE

JOB DESCRIPTION We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK - but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact. Lead Machine Learning Scientist - International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions. Analyse large, heterogeneous datasets to extract actionable insights and inform decision making. Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems. Identify the right state of the art solutions for the bank's objectives and manage colleagues to implement them as clean, production ready code. Communicate findings and recommendations through clear and concise reports and presentations. Required Qualifications, Capabilities and Skills Experience leading teams to deliver production machine learning solutions. Proficiency in Python and SQL and familiarity with good software engineering practices. Excellent written and verbal communication. Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields. Experience in LLM model fine tuning and continuous learning techniques. Experience in prompt engineering techniques and state of the art LLM architectures. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

We're looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. What you'll get Work at the intersection of AI and life sciences with high impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML. Senior (5+ years of experience) Company: BioTalent

A leading biotechnology firm is seeking a Research Scientist (Machine Learning) to work on innovative AI applications in drug discovery. The role involves designing novel ML models, collaborating with interdisciplinary teams, and applying deep learning to scientific problems. Ideal candidates will have a PhD in a relevant field and expertise in deep learning technologies. This position offers a hybrid working environment, emphasizing growth and collaboration in a mission-driven culture.

NLP PEOPLE is seeking an Associate Professor specialized in Machine Learning and NLP based in Birmingham, England. This role involves leading impactful research initiatives in AI and social media analytics, shaping educational strategies, and fostering industry engagement. Candidates should possess a PhD in a related discipline, significant teaching experience, and a proven track record in research leadership. Emphasis on equity, diversity, and inclusion is essential. The university supports flexible work options.

Associate Professor - Machine Learning & NLP (Social Media Analytics) Full time, 2 year convertible tenure track at UNSW, Sydney, NSW, Australia. Salary, Level D - AUD $185,917 to $204,218 per annum + 17% superannuation. Responsibilities Lead high impact research in Artificial Intelligence and Natural Language Processing, including large language models and social media analytics, with national and international visibility. Shape the strategic direction of research and education in AI and NLP at the School of Computer Science and Engineering. Foster industry engagement and collaborations, contributing to the School's research profile and educational excellence. Secure competitive research funding, lead research initiatives, and supervise higher degree research students. Deliver high quality teaching and develop curriculum at undergraduate and postgraduate levels. Demonstrate clear leadership within the discipline, including academic governance and program development. Qualifications and Skills A PhD (or equivalent) in a related discipline and/or relevant work experience. Proven commitment to staying current with discipline knowledge and developments. Demonstrated experience in teaching and learning design, course development and delivery at undergraduate and postgraduate level. Experience with educational technologies and online delivery methods. Evidence of teaching effectiveness, passion for educational excellence, and fostering this in others. Demonstrated experience with industry or work integrated learning. Professional development of teaching practice and leadership of an inclusive culture of excellence in learning and teaching. Successful initiation of curriculum development and improvement. Highly developed interpersonal and organisational skills. Ability to support and inspire students from diverse backgrounds and support equity, diversity and inclusion initiatives. Significant track record in research leadership with high quality, high international impact outcomes. Excellent record of recruiting and supervising high calibre students. Leadership in building engagement and partnerships with the profession and industry. Understanding of and commitment to UNSW's aims, objectives and values, and relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment to training. Pre Employment Checks National and international criminal history checks. Entitlement to work and ID checks. Working with children checks. Gender based violence prevention declaration. Verification of relevant qualifications. Verification of relevant professional membership. Employment history and reference checks. Financial responsibility assessments/checks. Medical checks and assessments. Equity, Diversity & Inclusion UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

NLP PEOPLE is looking for a Machine Learning Engineer to join their team in Central London. This full-time role offers a competitive salary of up to £165,000, with stock options and benefits. The company is in a high-growth InsurTech sector and leverages AI to transform the insurance industry. The successful candidate will work on deploying machine learning solutions, improve operational workflows, and shape the technical culture of a game-changing team.

Machine Learning Engineer, NLP InsurTech, AI, Scale-up London 5 Days in Office, Up to £165,000 Stocks & Benefits. Owen Thomas is partnering with a high growth, venture backed InsurTech scale up that is disrupting a massive $200 B global market. Using AI they deliver automation that is up to 3 faster than legacy industry standards allowing insurance companies to act quicker and save millions. The company has found a niche within a niche and is already proving to be valuable to some of the world's leading insurance firms. Because of this they have been backed by some of Europe's and Silicon Valley's most prestigious venture capital firms. As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. This is a full time, office based role in Central London, joining a high intensity, mission driven team that thrives on high performance and rapid execution. Responsibilities Build intelligent systems that improve operational accuracy, accelerate assessments, and enhance user experience. Collaborate closely with domain specialists to translate complex, manual processes into AI driven workflows. Deploy, monitor, and scale machine learning solutions in a production environment. Help shape the technical culture and engineering team from the ground up. Work side by side with the founding team, learning exactly how to scale a business from 0 to 1. Requirements 2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics. A passion for high velocity deployment-you love shipping code quickly. Strong communication skills and the ability to collaborate effectively with non technical stakeholders. Comfort operating in ambiguous, rapid growth, and high velocity environments. Senior (5+ years of experience). Benefits Base salary up to £165,000. Generous, transparent equity participation. Comprehensive health insurance and pension contributions. 28 days annual leave (plus bank holidays). 30 days of remote working flexibility per year. Full Skilled Worker visa sponsorship available for the UK. Company Owen Thomas B Corp