About Us Eigent AI is a research-driven startup aiming to construct and maintain a multi-agent ecosystem simulating the conventional cross-functional, labour-intensive workflows for professional projects and beyond. We build agents that can efficiently reason and robustly interact with external environments. Eigent’s MAS (multi-agent system) vastly improves the efficiency and accuracy of executing complex tasks. Our prior work includes CAMEL-AI.org, which is the earliest large language model-based multi-agent system for real-world task solving. At Eigent AI, we are a collaborative team and a supportive community that values openness, honesty, and respect. We encourage open discussions, welcome diverse perspectives, and believe in taking ownership of the trials and errors in our entrepreneurial journey. We want to build meaningful solutions that tackle the immediate problems of our customers. Every member, regardless of title or role, is encouraged to contribute creatively to our shared goals. About the Role As a Machine Learning Engineer, you will hold a key role within our team. You will design, develop, and deploy machine learning/deep learning models to solve complex problems across various domains. The engineer's role extends beyond model creation to integrating these models into our production systems and optimizing their performance, emphasizing the practical application of machine learning solutions, with the collaboration with cross-functional teams. We are in search of entrepreneurial professionals who are commercially aware, enthusiastic about cutting-edge technologies, resilient to unprecedented challenges, and capable of flourishing in a fast-paced setting. Your Responsibility ● Advance our Autonomous AI Agent development, including designing, developing, and augmenting agents with machine learning/deep learning algorithms, LLMs and other models● Track and investigate the latest machine learning ideas and concepts, rapidly prototype and experiment with new findings in the field, evaluate the feasibility and performance of various AI algorithms and models, iterating based on results to produce timely outcomes● Collaborate effectively with cross-functional teams, including software engineers, data scientists, and product managers, to deliver machine learning additions to Eigent AI’s products● Document your work thoroughly, including the algorithms employed, details of experiments conducted, and the results obtained, and proactively engage with the team to discuss your findings and ensure the alignment of your work with project objectives and outcomes● Participate in Agile development workflow● Provide fellow team members with feedback, support, and mentorship to foster a collaborative work environment● Being a core part of a robust product development process in the company The Ideal Candidate ● 3+ years of hands-on experience in machine learning engineering● Comfortable with experimentation and rapid prototyping of proofs-of-concepts in the field, and willing to explore innovative machine-learning solutions and iterate quickly● Solid mathematical background in statistics, linear algebra, and calculus, a good understanding of deep learning architectures, natural language processing models, and reinforcement learning algorithms● Sound knowledge and demonstrable experience of great practices in Python (e.g. linting, auto-formatting, static analysis, etc.), ability to write clean, maintainable, and efficient code, proficiency with either TensorFlow, PyTorch or Jax● Proficiency with testing methodologies (unit, integration, end-to-end), as well as familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices● Previous experience in working with open-source Large Language Models (LLMs) and fine-tuning is a plus● Previous experience with system languages like Golang, C/C++, Rust is a plus● A proactive and optimistic attitude, a strong sense of responsibility, great project management & organizational skills, attention to detail in work, and excellent cross-functional communication & collaboration skills● Previous experience working in a fast-paced start-up setting is a strong plus● Being a CAMEL-AI.org contributor / Familiar with CAMEL-AI agent framework is a plus Why Join Us ● Competitive salary, generous employee stock option scheme, and other benefits● A challenging and innovative working environment with a steep learning curve● Your decision and performance weighs heavily on the future of the company● Being a core part of a pioneering technology project that has a profound social impact● A transparent, empathetic, diverse, and collaborative work culture that promotes development and growth● Constant opportunity to work closely with multiple business functions within the company● 28 days paid holiday + bank holiday● A hybrid work environment (In office 3 days a week) in London’s leading tech hub King’s Cross If this role sounds interesting to you, please send your CV and a few small paragraphs demonstrating your motivations to hr@eigent.ai.

Data Science & ML ConsultantLocation: London – Hybrid Employment: Full Time All applicants must hold a DV (Developed Vetting) clearance to apply. The Opportunity: For the Ministry of Defence (MOD), maintaining national security is a 24-hour-a-day, 365-day-a-year mission. For this reason, it partners with this Big 4 Firm to support its multidisciplinary Data Science and Machine Learning team within DSSV (Data Science, Simulation and Visualisation). The Teams work together to drive innovation and insight from data, using cutting-edge Data Science and Machine Learning techniques alongside Digital Transformation to solve complex problems through AI and Data. The Role:Working closely with senior data scientists, the Consultant's responsibilities span the entire data science lifecycle, from Proof of Concept to fully tested production solutions. Additional duties include preparing technical documentation, participating in client proposal responses, and pitching data science projects. Required Skills/Experience:• British Passport Holder with active DV (Developed Vetting Clearance)• Hands-on experience applying data science/machine learning in Defence/Security, public sector, or academia.• Understanding various machine learning models: Transformers, CNNs, regression, vector embeddings.• Ability to communicate complex technical issues effectively to diverse audiences.• Client relationship management skills.• Contribute to practice development, including research and developing new propositions.• Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP).• Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling.• Python libraries for data management, statistical analysis, machine learning, and visualisation.• Machine learning frameworks such as TensorFlow and PyTorch.• Knowledge of Natural Language Processing and Computer Vision applications.• Strong understanding of basic probability concepts.• In-depth knowledge of the machine learning lifecycle and collaboration facilitation.• Workflow/pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents).• Understanding and application of key considerations for Ethical AI. Benefits:• Base Salary: £45,000 - £75,000 (DoE)• Discretionary Bonus: Circa 10% per annum• Flex Fund: £5000• Health: Private Medical Insurance• Annual Leave: 25 Days plus Public Holidays + buy up to 10 additional days• L&D: Annual Performance/Salary Reviews + Training & Development Budget• Pension: 6% Matched Pension + Group Personal Pension Plan• Life Assurance: Up to a maximum of four times the Earnings Cap• Occupational Sick Pay• Personal Accident Insurance If you want to apply to one of LinkedIn's Top 5 Places to Work in 2023, please use the link below or contact us directly for more information. Contact: 02077806706Reference: AMC/RKI

Machine Learning Engineer Jobs in London, England

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Machine Learning Engineer Jobs in London, England

Machine Learning EngineerApril 24, 2024

Data Science Machine Learning EngineerApril 14, 2024

Quick filters

Top companies

Machine Learning Engineer
April 24, 2024

Data Science Machine Learning Engineer
April 14, 2024